Journal of Electrical and Electronic Engineering
Volume 7, Issue 2, April 2019, Pages: 69-74
Received: Apr. 14, 2019;
Published: Jun. 15, 2019
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Dang Kexin, School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin, China
Zhang Xiongfei, School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin, China
Chen Zhihong, School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin, China
Yang Ziwen, School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin, China
Li Chen, School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin, China
The human visual system is the main component of the brain-based information processing system. It is the main way for humans to obtain external information. Therefore, the emerging science represented by computer vision came into being. Video-specific target tracking is a core issue in the field of computer vision research. It has been widely studied and concerned, and it has been widely used in many fields, such as video surveillance, intelligent navigation, medical diagnosis, augmented reality and virtual reality, etc. The specific moving target tracking algorithm and improved algorithm in the video are studied to some extent. Combining the meanshift algorithm with Kalman filtering can solve the occlusion problem of moving targets in complex scenes. This project intends to use Kalman filter and meanshift algorithm to detect and track the specified target in the video image sequence, and obtain the position, angle, scale, velocity, acceleration and dynamic trajectory of the target. Experiments show that this method has a good tracking effect on the target tracking in the video which is partially occluded during the motion.
An Anti-occlusion Video Target Tracking Method Based on Kalman Filter, Journal of Electrical and Electronic Engineering.
Vol. 7, No. 2,
2019, pp. 69-74.
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