Prof. Haibin Ling Profile

Prof. Haibin Ling

at Temple Univ

SPIE Involvement:

Author

Publications (25)

Proceedings Article | 2 April 2024 Poster + Paper

Weakly supervised detection of cell activation

Zhilin Zou, Kicheon Park, Jiaxiang Ren, Wensheng Cheng, Sophia Liu, Yingtian Pan, Congwu Du, Haibin Ling

Proceedings Volume 12930, 129301J (2024) https://doi.org/10.1117/12.3005371

KEYWORDS: Education and training, Feature extraction, Denoising, Neurons, Optical imaging, Calcium, In vivo imaging, Visualization, Neuroimaging, Interference (communication)

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SPIE Journal Paper | 18 January 2019

Robust visual tracking for planar objects using gradient orientation pyramid

Lin Chen, Haibin Ling, Yu Shen, Fan Zhou, Ping Wang, Xiang Tian, Yaowu Chen

JEI, Vol. 28, Issue 01, 013007, (January 2019) https://doi.org/10.1117/12.10.1117/1.JEI.28.1.013007

KEYWORDS: Electronic support measures, Optical tracking, Motion models, Detection and tracking algorithms, Image registration, Video, Machine vision, Computer vision technology, Motion estimation, Optimization (mathematics)

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Proceedings Article | 2 May 2018 Presentation + Paper

Multitask assessment of roads and vehicles network (MARVN)

Fang Yang, Meng Yi, Yiran Cai, Erik Blasch, Nichole Sullivan, Carolyn Sheaff, Genshe Chen, Haibin Ling

Proceedings Volume 10641, 106410D (2018) https://doi.org/10.1117/12.2305972

KEYWORDS: Roads, Image segmentation, Network architectures, Sensors, Cameras, Visualization, Convolution, Video, Data modeling, Machine vision

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Proceedings Article | 13 May 2016 Paper

Vehicle classification in WAMI imagery using deep network

Meng Yi, Fan Yang, Erik Blasch, Carolyn Sheaff, Kui Liu, Genshe Chen, Haibin Ling

Proceedings Volume 9838, 98380E (2016) https://doi.org/10.1117/12.2224916

KEYWORDS: Convolution, Neural networks, Unmanned aerial vehicles, Image understanding, Image processing, Analytical research, Image analysis, Cameras, Sensors, Data modeling

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Humans have always had a keen interest in understanding activities and the surrounding environment for mobility, communication, and survival. Thanks to recent progress in photography and breakthroughs in aviation, we are now able to capture tens of megapixels of ground imagery, namely Wide Area Motion Imagery (WAMI), at multiple frames per second from unmanned aerial vehicles (UAVs). WAMI serves as a great source for many applications, including security, urban planning and route planning. These applications require fast and accurate image understanding which is time consuming for humans, due to the large data volume and city-scale area coverage. Therefore, automatic processing and understanding of WAMI imagery has been gaining attention in both industry and the research community. This paper focuses on an essential step in WAMI imagery analysis, namely vehicle classiﬁcation. That is, deciding whether a certain image patch contains a vehicle or not. We collect a set of positive and negative sample image patches, for training and testing the detector. Positive samples are 64 × 64 image patches centered on annotated vehicles. We generate two sets of negative images. The ﬁrst set is generated from positive images with some location shift. The second set of negative patches is generated from randomly sampled patches. We also discard those patches if a vehicle accidentally locates at the center. Both positive and negative samples are randomly divided into 9000 training images and 3000 testing images. We propose to train a deep convolution network for classifying these patches. The classiﬁer is based on a pre-trained AlexNet Model in the Caﬀe library, with an adapted loss function for vehicle classiﬁcation. The performance of our classiﬁer is compared to several traditional image classiﬁer methods using Support Vector Machine (SVM) and Histogram of Oriented Gradient (HOG) features. While the SVM+HOG method achieves an accuracy of 91.2%, the accuracy of our deep network-based classiﬁer reaches 97.9%.

Proceedings Article | 13 May 2016 Paper

Real-time WAMI streaming target tracking in fog

Yu Chen, Erik Blasch, Ning Chen, Anna Deng, Haibin Ling, Genshe Chen

Proceedings Volume 9838, 98380D (2016) https://doi.org/10.1117/12.2223975

KEYWORDS: Fiber optic gyroscopes, Clouds, Sensors, Surveillance, Video, Video surveillance, Data processing, Detection and tracking algorithms, Roads, Data centers

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Proceedings Article | 29 March 2016 Paper

Trabecular bone texture classification using wavelet leaders

Zilong Zou, Jie Yang, Vasileios Megalooikonomou, Rachid Jennane, Erkang Cheng, Haibin Ling

Proceedings Volume 9788, 97880E (2016) https://doi.org/10.1117/12.2216452

KEYWORDS: Wavelets, Bone, Image classification, Statistical analysis, Machine learning, Pattern recognition, Radiography, Analytical research, Biomedical optics, Medical imaging, Seaborgium

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Proceedings Article | 21 March 2016 Paper

Learning-based landmarks detection for osteoporosis analysis

Erkang Cheng, Ling Zhu, Jie Yang, Azhari Azhari, Suhardjo Sitam, Xin Liang, Vasileios Megalooikonomou, Haibin Ling

Proceedings Volume 9784, 97841X (2016) https://doi.org/10.1117/12.2216455

KEYWORDS: Radiography, Machine learning, Pattern recognition, Machine vision, Computer vision technology, Medicine, Lithium, Image analysis, Radiology, 3D image processing, Computed tomography, Medical imaging, Feature extraction

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Proceedings Article | 22 May 2015 Paper

A benchmark for vehicle detection on wide area motion imagery

Joseph Catrambone, Ismail Amzovski, Pengpeng Liang, Erik Blasch, Carolyn Sheaff, Zhonghai Wang, Genshe Chen, Haibin Ling

Proceedings Volume 9469, 94690F (2015) https://doi.org/10.1117/12.2178535

KEYWORDS: Analytical research, Detection and tracking algorithms, Target detection, Ions, Data centers, Image fusion, Motion detection, Motion analysis, Sensors, Roads

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Proceedings Article | 19 June 2014 Paper

Surveillance of ground vehicles for airport security

Erik Blasch, Zhonghai Wang, Dan Shen, Haibin Ling, Genshe Chen

Proceedings Volume 9089, 90890B (2014) https://doi.org/10.1117/12.2053855

KEYWORDS: Video, Video surveillance, Surveillance, Information fusion, Information security, Unmanned aerial vehicles, Sensors, Semantic video, Data fusion, Process modeling

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Proceedings Article | 19 June 2014 Paper

Summary of methods in Wide-Area Motion Imagery (WAMI)

Erik Blasch, Guna Seetharaman, Steve Suddarth, Kannappan Palaniappan, Genshe Chen, Haibin Ling, Arlsan Basharat

Proceedings Volume 9089, 90890C (2014) https://doi.org/10.1117/12.2052894

KEYWORDS: Sensors, Surveillance, Analytical research, Target detection, Motion analysis, 3D modeling, Standards development, Video surveillance, Video, Visualization

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Proceedings Article | 19 June 2014 Paper

Efficient feature extraction from wide-area motion imagery by MapReduce in Hadoop

Erkang Cheng, Liya Ma, Adam Blaisse, Erik Blasch, Carolyn Sheaff, Genshe Chen, Jie Wu, Haibin Ling

Proceedings Volume 9089, 90890J (2014) https://doi.org/10.1117/12.2054690

KEYWORDS: Feature extraction, Data processing, Machine vision, Image processing, Computer vision technology, Data modeling, Clouds, Computer programming, Detection and tracking algorithms, Software development

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Proceedings Article | 7 March 2014 Paper

Mobile multi-flash photography

Xinqing Guo, Jin Sun, Zhan Yu, Haibin Ling, Jingyi Yu

Proceedings Volume 9023, 902306 (2014) https://doi.org/10.1117/12.2038224

KEYWORDS: Cameras, Light emitting diodes, Photography, Image processing, Mobile devices, Image enhancement, Image registration, Digital imaging, Visualization, Image filtering

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Proceedings Article | 1 October 2013 Paper

Infrared target tracking using multiple instance learning with adaptive motion prediction and spatially template weighting

Xinchu Shi, Weiming Hu, Yun Cheng, Genshe Chen, Jingjing Ji, Haibin Ling

Proceedings Volume 8739, 873912 (2013) https://doi.org/10.1117/12.2015614

KEYWORDS: Infrared radiation, Infrared search and track, Detection and tracking algorithms, Infrared imaging, Thermography, Motion models, Optical tracking, Binary data, RGB color model, Visualization

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Proceedings Article | 28 May 2013 Paper

Spatial context for moving vehicle detection in wide area motion imagery with multiple kernel learning

Pengpeng Liang, Dan Shen, Erik Blasch, Khanh Pham, Zhonghai Wang, Genshe Chen, Haibin Ling

Proceedings Volume 8751, 875105 (2013) https://doi.org/10.1117/12.2015967

KEYWORDS: Cameras, Roads, Target detection, 3D modeling, Motion models, Optical tracking, Image fusion, Surveillance, Digital filtering, Information science

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Proceedings Article | 23 May 2013 Paper

Pattern of life from WAMI objects tracking based on visual context-aware tracking and infusion network models

Jianjun Gao, Haibin Ling, Erik Blasch, Khanh Pham, Zhonghai Wang, Genshe Chen

Proceedings Volume 8745, 87451K (2013) https://doi.org/10.1117/12.2015612

KEYWORDS: Video, Video surveillance, Target detection, Optical tracking, Sensors, Databases, Data modeling, Image sensors, Analytical research, Visualization

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Proceedings Article | 22 May 2013 Paper

Low frame rate video target localization and tracking testbed

Yu Pang, Dan Shen, Genshe Chen, Pengpeng Liang, Khanh Pham, Erik Blasch, Zhonghai Wang, Haibin Ling

Proceedings Volume 8742, 87420T (2013) https://doi.org/10.1117/12.2015954

KEYWORDS: Detection and tracking algorithms, Target detection, Video, Digital filtering, Optical tracking, Cameras, RGB color model, MATLAB, Image filtering, Image processing

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Proceedings Article | 21 May 2013 Paper

A holistic image segmentation framework for cloud detection and extraction

Dan Shen, Haotian Xu, Erik Blasch, Gregory Horvath, Khanh Pham, Yufeng Zheng, Haibin Ling, Genshe Chen

Proceedings Volume 8739, 873911 (2013) https://doi.org/10.1117/12.2015175

KEYWORDS: Clouds, Image segmentation, Image processing, Video, Fermium, Frequency modulation, RGB color model, Analytical research, Atmospheric sensing, Binary data

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Proceedings Article | 4 May 2012 Paper

Dismount tracking and identification from electro-optical imagery

Erik Blasch, Haibin Ling, Yi Wu, Guna Seetharaman, Michael Talbert, Li Bai, Genshe Chen

Proceedings Volume 8402, 84020H (2012) https://doi.org/10.1117/12.919025

KEYWORDS: Sensors, Databases, Environmental sensing, Optical tracking, Electro optics, Diffusion tensor imaging, Target detection, Analytical research, Radar, Performance modeling

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Proceedings Article | 4 May 2012 Paper

Feature-based background registration in wide-area motion imagery

Yi Wu, Genshe Chen, Erik Blasch, Li Bai, Haibin Ling

Proceedings Volume 8402, 840204 (2012) https://doi.org/10.1117/12.918804

KEYWORDS: Image registration, Sensors, Video surveillance, Video, Cameras, Image fusion, Image resolution, Surveillance, Detection and tracking algorithms, Target detection

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Proceedings Article | 23 February 2012 Paper

Automatic detection of apical roots in oral radiographs

Yi Wu, Fangfang Xie, Jie Yang, Erkang Cheng, Vasileios Megalooikonomou, Haibin Ling

Proceedings Volume 8315, 83152M (2012) https://doi.org/10.1117/12.911743

KEYWORDS: Sensors, X-ray imaging, X-rays, Detection and tracking algorithms, Machine learning, Radiography, Medical imaging, Facial recognition systems, Computer aided diagnosis and therapy, Wavelets

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Proceedings Article | 23 February 2012 Paper

Computer aided periapical lesion diagnosis using quantized texture analysis

Yi Wu, Fangfang Xie, Jie Yang, Erkang Cheng, Vasileios Megalooikonomou, Haibin Ling

Proceedings Volume 8315, 831518 (2012) https://doi.org/10.1117/12.911500

KEYWORDS: X-ray imaging, X-rays, Image classification, Medical imaging, Image analysis, Sensors, Statistical analysis, Performance modeling, Visual process modeling, Image retrieval

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Proceedings Article | 23 February 2012 Paper

Medical image retrieval based on texture and shape feature co-occurrence

Yixiao Zhou, Yan Huang, Haibin Ling, Jingliang Peng

Proceedings Volume 8315, 83151Q (2012) https://doi.org/10.1117/12.911240

KEYWORDS: Medical imaging, Feature extraction, Image processing, Edge detection, Gaussian filters, Databases, Image filtering, Bladder, Image retrieval, Neuroimaging

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Proceedings Article | 14 February 2012 Paper

Segmentation of anatomical branching structures based on texture features and conditional random field

Tatyana Nuzhnaya, Predrag Bakic, Despina Kontos, Vasileios Megalooikonomou, Haibin Ling

Proceedings Volume 8314, 83141J (2012) https://doi.org/10.1117/12.911112

KEYWORDS: Image segmentation, Breast, Image enhancement, Medical imaging, Image processing algorithms and systems, X-rays, Neural networks, Breast cancer, Error analysis, Algorithm development

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Proceedings Article | 15 March 2011 Paper

Automatic detection of regions of interest in mammographic images

Erkang Cheng, Haibin Ling, Predrag Bakic, Andrew D. Maidment, Vasileios Megalooikonomou

Proceedings Volume 7962, 79623J (2011) https://doi.org/10.1117/12.877667

KEYWORDS: Breast, Machine learning, Algorithm development, Wavelets, Image analysis, Breast cancer, Detection and tracking algorithms, Mammography, Medical imaging, Visualization

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Proceedings Article | 9 March 2011 Paper

Classification of texture patterns in CT lung imaging

Tatyana Nuzhnaya, Vasileios Megalooikonomou, Haibin Ling, Mark Kohn, Robert Steiner

Proceedings Volume 7963, 796336 (2011) https://doi.org/10.1117/12.877889

KEYWORDS: Lung, Computed tomography, Image classification, Tissues, Neodymium, Medical imaging, Quantization, Statistical analysis, Lung imaging, Image compression

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Showing 5 of 25 publications

Conference Committee Involvement (2)

Geospatial Informatics, Fusion, and Motion Video Analytics VI

19 April 2016 | Baltimore, MD, United States

Geospatial Informatics, Fusion, and Motion Video Analytics V

20 April 2015 | Baltimore, MD, United States

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