Paper
18 September 2001 Method of speed measurement for automatic object tracking in multiple scenes
Xin Chen, Fang Wu, HaiMing Li, YinPin Zhao, JianXin Li
Author Affiliations +
Proceedings Volume 4556, Data Mining and Applications; (2001) https://doi.org/10.1117/12.440279
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
Abstract
This paper describes a method that can be used to track the single moving object automatically in multiple scenes. After preprocessing of the original image sequence, which is sampled from the video camera, the optical flow of the moving object in multiple scenes will be calculated rapidly with the improved algorithm. The moving object region can be extracted completely through several processing of the optical flow field such as region-connection, region- merging, and region-clustering methods. Then, the results of these processing can be used to measure the speed and direction of the moving object quantitatively, and can be used to output the control signal to drive the tracker for tracking the fast-moving object.14
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xin Chen, Fang Wu, HaiMing Li, YinPin Zhao, and JianXin Li "Method of speed measurement for automatic object tracking in multiple scenes", Proc. SPIE 4556, Data Mining and Applications, (18 September 2001); https://doi.org/10.1117/12.440279
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KEYWORDS
Optical flow

Image processing

Automatic tracking

Cameras

Binary data

Optical tracking

Signal processing

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