NDLI: Front-end pedestrian matching based on computational verb similarity

Content Provider	IEEE Xplore Digital Library
Author	Youhe Chen Renyu Huang Tao Yang
Copyright Year	2015
Description	Author affiliation: Dept. of Electron. Eng., Xiamen Univ., Xiamen, China (Youhe Chen; Renyu Huang; Tao Yang)
Abstract	In the front-end of video monitoring, there is an important requirement that if a person occurring in one scene is the same guy as someone in the database. In this paper, we proposed an algorithm to measure that if two pictures we obtained contain the same person or not. We try different textures such as the vertical-horizontal histogram (VHH), Gray-Level Co-occurrence Matrices (GLCM) and Gabor wavelet (GW). Then we calculate the computational verb similarity with these features respectively for two different pictures. With a pedestrian database we set two indicators, Precision and Recall, to determine the final threshold similarity that two pictures contain the same person. And take the time consumption into consideration, we find GLCM and GW will spend much more time than the histogram. So we focus on the VHH and try to improve this feature. Considering the background in every pedestrian pictures, every picture is divided into different blocks. For every part we calculate the VHH respectively and get the average VHH of all blocks to calculate the verb similarity. Then the optimization is to find the best division parameter, the quantity of vertical blocks and horizontal blocks, which we can get the maximum sum of Precision and Recall.
Starting Page	329
Ending Page	332
File Size	641197
Page Count	4
File Format	PDF
ISBN	9781479919833
e-ISBN	9781479919840
DOI	10.1109/ICCSN.2015.7296178
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Threshold similarity Histograms Databases Surveillance Computational verb similarity Precision Market research Vertical-horizontal histogram Recall Computational complexity Optimization
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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