Detection and tracking of moving object based on PTZ camera

Li, Xinghua; Chen, Qinglei; Chen, Haiyang

doi:10.1109/icaci.2012.6463213

Cited by 3 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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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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Dynamic textures based target detection for PTZ camera sequences

Zitouni

Bhaskar

Sluzek

2017

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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Detection Of Moving Object Using Foreground Extraction Algorithm By Ptz Camera

Komagal¹,

Devi²,

Kumareshwari³

et al. 2014

IJIST

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This paper proposes a way of recognition foreground of moving object by Foreground Extraction algorithm by Pan-Tilt-Zoom camera. It presents the combined process of Foreground Extraction and local histogram process. Background images are often modeled as multiple frames and their corresponding camera pan and tilt angles are determined. Initially have got to work out the foremost matchedbackground from sequence of input frames based on camera pose information. The method is more continued by compensating the matched background image with this image. Then Background Subtraction is completed between modeled background and current image. Finally before local histogram process is completed, noises are often removed by morphological operators. As a result correct foreground moving objects are successfully extracted by implementing these four steps.

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Detection and tracking of moving object based on PTZ camera

Cited by 3 publications

References 6 publications

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

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

Dynamic textures based target detection for PTZ camera sequences

Detection Of Moving Object Using Foreground Extraction Algorithm By Ptz Camera

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