Computer Science Research
In Car Video
This work aims at real-time in-car video analysis to detect several critical events in order to alarm and assist police action. Particularly, detecting a tracked or stopped vehicle is a crucial task for further examination of suspects, protecting police safety, and remote monitoring from police station. This work employs a comprehensive approach to localize target vehicles in the video under various environments and illumination conditions. The extracted geometry features on the moving objects and background are dynamically projected onto a 1D profile and are constantly tracked. We rely on temporal information of features for vehicle identification, which compensates for the complexity of vehicle shapes, colors and types. We investigated videos of day and night, and different types of roads, proving that our employed approach is robust and effective.
Project Presented By
Tuceryan, Mihran
Education Details
| BS: | Computer Science and Engineering Massachusetts institute of Technology 1978 |
| PhD: | Computer Science University of Illinois 1980 |
Research Interests
Associate Professor Dr. Mihran Tuceryan holds a PhD degree in Computer Science from the University of Illinois at Urbana-Champaign (1986) and a Bachelor of Science degree in Computer Science and Engineering from the Massachusetts Institute of Technology (1978). His areas of expertise include Computer Vision, Image Processing, and Pattern Recognition. His recent research interests include augmented reality, video analysis for marketing applications, and distributed tracking. He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) and a regular member of the Association of Computing Machinery (ACM).
Zheng, Jiang Yu
Education Details
| BS: | Computer Science Fudan University 1983 |
| MS: | Control Engineering Osaka University 1987 |
| PhD: | Control Engineering Osaka University 1990 |
Research Interests
Dr. Zheng earned his B.S. degree from Fudan University, China, in 1983, and his M.S. and Ph.D. degrees from Osaka University in Japan in 1987 and 1990, respectively. He was with ATR Communication Systems Research Laboratory as a research associate from 2000-2003. He then worked at Kyushu Institute of Technology, Japan, from 1993 to 2001 as an associate professor. He specializes in the areas of image, vision, graphics, virtual reality, multimedia, and the internet. His current research interests include 3D Modeling, Dynamic Image Processing, scene representation, digital museums, and combining vision with graphics and human interface. Dr. Zheng received 1991 Best Paper Award from the Information Processing Society of Japan for generating the world's first digital panoramic image. He also received the Excellent Paper Award from the Japan Society of Art and Science in 2000 for his development of a graphics tool to extract human motion from video. He is a senior member of IEEE, and adjunct professor in Beijing University, China.
