Study of Human Behavior Recognition Technology Based on DaVinci Processor

Article Preview

Abstract:

The paper studies the method of behavior recognition. The standing, sitting, squatting postures are recognized in the PC and the Davinci processor. The paper achieves the method that detects the moving regions using codebook method. After the moving regions being smoothed and chosen, then extract the features of regions. Last we train the examples using the K near algorithm and recognize the posture in the video in real time.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

691-695

Citation:

Online since:

June 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] ZHAO Ji and FENG Chuang, Moving Object Detection and Segmentation Based on Adaptive Frame Difference and Level Set, Information and Control, vol. 41, pp.153-158, Feb. (2012).

Google Scholar

[2] Donovan H. Parks and Sidney S. Fels, Evaluation of Background Subtraction Algorithm with Post-Processing, in IEEE Fifth International Conference on Advanced Video & Signal Based Surveillance, 2008, pp.192-199.

DOI: 10.1109/avss.2008.19

Google Scholar

[3] Danafar Somayeh, Gheissari Niloofar. Poster Session5: Recognition-Action Recognition for Surveillance Application using optical flow and SVM. Lecture Notes in Computer Science, 2007, 4844: 457-466.

DOI: 10.1007/978-3-540-76390-1_45

Google Scholar

[4] DaVinci technology, digital video innovation product bulletin (Rev. D) [R]. Chicago: Texas Instruments Incorporated, (2007).

Google Scholar

[5] David Sea1. ARM Arehiteeture Referenee ManuaI. Pearson Edueation limited. 2001. England.

Google Scholar

[6] T. Cover, P. Hart. Nearest neighbor pattern classification [J]. IEEE Transactions on Information theory, January 1967, 13(1): 21–27.

DOI: 10.1109/tit.1967.1053964

Google Scholar