Detection and Tracking of Moving Object in Compressed Videos

Jayabalan, E.; Krishnan, Arun V.

doi:10.1007/978-3-642-19542-6_7

Cited by 2 publications

(1 citation statement)

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“…In recent years, although the methods of video moving target detection (MTD) have been deeply studied and some problems existing in algorithms have been improved, most of these algorithms are for specific applications [1]. It is the follow-up tracking and recognition of moving objects and the basis of semantic understanding of moving object sequences [2][3][4]. For applications such as encoding and decoding of key information in the video, the moving target of interest in the video sequence needs to be extracted from the background, so as to achieve compressed storage of the video image [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Design of Sports Image Contour Feature Acquisition System Based on the Background Subtraction Method

Xiong

2022

Journal of Mathematics

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Moving target detection (MTD) is one of the emphases and difficulties in the field of computer vision and image processing. It is the basis of moving target tracking and behavior recognition. We propose two methods are improved and fused, respectively, and the fusion algorithm is applied to the complex scene for MTD, so as to improve the accuracy of MTD in complex and hybrid scenes. Using the main idea of the three-frame difference image method, the background difference method and the interframe difference method are combined to make their advantages complementary to overcome each other’s weaknesses. The experimental results show that the method can be well adapted to the situation of periodic motion interference in the background, and it can adapt to the situation of sudden background changes.

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