Suspicious Activity Detection Using Live Video Analysis-Reference-Cited by-同舟云学术

Suspicious Activity Detection Using Live Video Analysis

Published:2020 Issue: Volume: Page:203-214
ISSN:2524-7565
Container-title:Proceeding of International Conference on Computational Science and Applications
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Author:

Gorave Asmita,Misra Srinibas,Padir Omkar,Patil Anirudha,Ladole Kshitij

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-0790-8_21

Reference8 articles.

1. Sakaino H (2013) Video based tracking, learning and recognition method for multiple moving objects. IEEE Trans Circ Syst Video Technol 23(10):1661–1674

2. Gowsikhaa D, Abirami S (2012) Suspicious human activity detection from surveillance videos. Int J Internet Distrib Comput Syst 2(2)

3. Arroyo R, Yebes JJ, Bergasa LM (2015) Expert video-surveillance system for real-time detection of suspicious behaviors in shopping malls. Expert Syst Appl 42(21). Elsevier

4. Hariyono J, Jo KH (2016) Centroid based pose ratio for pedestrian action recognition. In: IEEE 25th International symposium industrial electronics (ISIE), pp 895–900

5. Pavithradevi K, Aruljothi S (2014) Detection of suspicious activities in public areas using staged matching technique. Int J Adv Inf Comm Tech (IJAICT) 1(1):140–144

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