Moving Object Detection and Analysis

Motion detection is the fundamental task for many computer vision and video processing applications. Some of the applications of motion detection are behavior analysis, traffic monitoring, video segmentation, video synopsis, action recognition, visual surveillance, anomaly detection, object tracking, etc.

Change Detection in Videos

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Change Detection in Dynamic Background Videos

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Aerial Scene Analysis

Advances in unmanned aerial vehicle (UAV) technology has unlocked a new frontier of computer vision which requires analysis and interpretation of aerial images and videos. Detection of small-sized targets in airborne images from urban scenes, industrial sites and agricultural landscapes has numerous applications in surveillance, remote sensing and other commercial purposes

Vehicle Detection from Aerial View

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Lightweight Vehicle Detector for UAVs

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Related Publications

1. Murari Mandal,Manal Shah, Prashant Meena, Sanhita Devi, Santosh Kumar Vipparthi, “AVDNet: A Small-Sized Vehicle Detection Network for Aerial Visual Data,” IEEE Geoscience and Remote Sensing letters, To be published (Impact Factor 2.892)
2. Murari Mandal, Santosh Kumar Vipparthi, Mallika Chaudhary, Subramanian Murala, Anil Balaji Gonde, S. K. Nagar, "ANTIC: ANTithetic Isomeric Cluster Patterns for Medical Image Retrieval and Change Detection,"IET Computer Vision, vol. 13, no. 1, pp. 31-43, 2019 (Impact Factor 1.087)
3. Murari Mandal, Manal Shah, Prashant Meena, Santosh Kumar Vipparthi, "SSSDET: Simple Short and Shallow Network for Resource Efficient Vehicle Detection in Aerial Scenes," 26th IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 2019. (Accepted)
4. Murari Mandal Vansh Dhar, Abhishek Mishra, Santosh Kumar Vipparthi "3D CNN for change detection (Poster)," NVIDIA GTC Conference, Silicon Valley, USA, 2019
5. Murari Mandal, Prafulla Saxena, Santosh Kumar Vipparthi, Subrahmanyam Murala, "CANDID: Robust Change Dynamics and Deterministic Update Policy for Dynamic Background Subtraction," 24th IEEE International Conference on Pattern Recognition (ICPR), Beijing, China, pp. 2468-2473, 2018.