Paper
16 August 2013 A fast moving objects detection algorithm based on motion estimation
Zhida Li, Changsheng Yu, Shixiong Xie
Author Affiliations +
Proceedings Volume 8912, International Symposium on Photoelectronic Detection and Imaging 2013: Low-Light-Level Technology and Applications; 89120I (2013) https://doi.org/10.1117/12.2033023
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China
Abstract
In this paper, a fast moving objects detection algorithm, based on motions estimation, is proposed. Our algorithm consists of three main parts: Firstly, we use Enhanced Predictive Zonal Search(EPZS) method to match patches between video frames, Then, moving objects contour information is extracted by applying Tree Structure Moving Compensation (TSMC) technique into interesting patch subdivision and matching. Finally, we extract the patches of the target by the statistics of motion vectors. By applying EPZS we can quickly detect the moving target and get its information .Experiment shows that the algorithm can quickly and efficiently detected moving target and its contour from adjacent frames. Compared with other algorithms, this algorithm has better usability and faster processing speed while not be affected by the moving of camera.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhida Li, Changsheng Yu, and Shixiong Xie "A fast moving objects detection algorithm based on motion estimation", Proc. SPIE 8912, International Symposium on Photoelectronic Detection and Imaging 2013: Low-Light-Level Technology and Applications, 89120I (16 August 2013); https://doi.org/10.1117/12.2033023
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KEYWORDS
Detection and tracking algorithms

Target detection

Motion estimation

Video

Cameras

Video surveillance

Image processing

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