Multi-camera based Human Tracking with Non-Overlapping Fields of View
This paper presents approach for an automated surveillance system which performs human detection and tracking across multiple non-overlapping cameras. Emphasis is put at single camera level where motion based segmentation is achieved using optical flow estimation. Feature matching and region-based shape descriptors are used for tracking. The proposed approach then extends feature and region-based shape matching across fields of view (FOV) of multiple nonoverlapping cameras in order to obtain inter-camera correspondences. Evaluation of the system was performed in different scenarios which verify that the proposed method can efficiently perform video motion tracking with high processing speeds.
computer vision surveillance pattern recognition image analysis image processing
Muhammad Owais Mehmood Attaullah Khawaja
Department of Electronic Engineering NED University of Engineering & Technology Karachi, Pakistan
国际会议
The Fifth International Conference on Image and Graphics(第五届国际图像图形学学术会议 ICIG 2009)
西安
英文
313-318
2009-09-20（万方平台首次上网日期，不代表论文的发表时间）