Illegal Video Surveillance on Satellite

Wei, Meiying; Li, Chen; Luo, Dang

doi:10.1007/978-3-642-33506-8_28

Cited by 1 publication

(1 citation statement)

References 6 publications

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“…Recognition and tracking of moving objects through computer vision technology have been widely applied in various fields such as food quality control [1], traffic flow monitoring [2], and illegal surveillance [3]. At present, the methods of detecting moving object mainly include model-based tracking [4], region-based tracking [5], and contour-based tracking [6].…”

Section: Introductionmentioning

confidence: 99%

A Novel Object Tracking Algorithm Based on Compressed Sensing and Entropy of Information

et al. 2015

Mathematical Problems in Engineering

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Object tracking has always been a hot research topic in the field of computer vision; its purpose is to track objects with specific characteristics or representation and estimate the information of objects such as their locations, sizes, and rotation angles in the current frame. Object tracking in complex scenes will usually encounter various sorts of challenges, such as location change, dimension change, illumination change, perception change, and occlusion. This paper proposed a novel object tracking algorithm based on compressed sensing and information entropy to address these challenges. First, objects are characterized by the Haar (Haar-like) and ORB features. Second, the dimensions of computation space of the Haar and ORB features are effectively reduced through compressed sensing. Then the above-mentioned features are fused based on information entropy. Finally, in the particle filter framework, an object location was obtained by selecting candidate object locations in the current frame from the local context neighboring the optimal locations in the last frame. Our extensive experimental results demonstrated that this method was able to effectively address the challenges of perception change, illumination change, and large area occlusion, which made it achieve better performance than existing approaches such as MIL and CT.

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Section: Introductionmentioning

confidence: 99%

A Novel Object Tracking Algorithm Based on Compressed Sensing and Entropy of Information

et al. 2015

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

Illegal Video Surveillance on Satellite

Cited by 1 publication

References 6 publications

A Novel Object Tracking Algorithm Based on Compressed Sensing and Entropy of Information

A Novel Object Tracking Algorithm Based on Compressed Sensing and Entropy of Information

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