People Re-Identification in Video Surveillance Systems Using Angle Information

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Sebti Ali; HASSANPOUR HAMID

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Paper Information

Journal: JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT) Year:2019 | Volume:8 | Issue:4 Page(s): 30-43

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Title

People Re-Identification in Video Surveillance Systems Using Angle Information

Author(s)

Sebti Ali | HASSANPOUR HAMID | Issue Writer Certificate

Keywords

People re-identificationQ1

Angle informationQ1

Video surveillanceQ1

3D attributesQ1

Abstract

Intelligent Video surveillance is one of the main applications in machine vision. People re-identification as part of these systems is of particular importance. Indeed, the accuracy in this part improves the efficiency of many types of monitoring algorithms. The re-identification task in human mind is performed consciously and is based on a prior knowledge of the 3D attributes of the human body. One of these attributes is the orientation of the body relative to the camera. In other words, a human supervisor at the matching stage uses the Angle information to estimate the appearance of the person at different angles. In this research, the above process is modeled. Thus, in this research, first the body orientation is automatically extracted in the image, and accordingly, upper part of the clothing is extracted, which might be hidden at different angles. Removing or re-sampling these areas reduces the destructive effects on the matching process. For evaluation and comparison, the proposed method was used in two of the efficient re-identification algorithms. Experiments were performed on the ViPer dataset and the results show %1. 3 percent improvements in the recognition rate for 316 people.

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APA: Copy

Sebti, Ali, & HASSANPOUR, HAMID. (2019). People Re-Identification in Video Surveillance Systems Using Angle Information. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT), 8(4 ), 30-43. SID. https://sid.ir/paper/245904/en

Vancouver: Copy

Sebti Ali, HASSANPOUR HAMID. People Re-Identification in Video Surveillance Systems Using Angle Information. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT)[Internet]. 2019;8(4 ):30-43. Available from: https://sid.ir/paper/245904/en

IEEE: Copy

Ali Sebti, and HAMID HASSANPOUR, “People Re-Identification in Video Surveillance Systems Using Angle Information,” JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT), vol. 8, no. 4 , pp. 30–43, 2019, [Online]. Available: https://sid.ir/paper/245904/en

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