Video analytics algorithm for detecting objects crossing lines in specific direction using blob-based analysis

Authors:
Zulaikha Kadim;Liang kim meng;Norshuhada Samudin;Khairunnisa Mohamed Johari;Khairil Hafriza;Choong Teck Liong;Hon Hock Woon
Affiliations:
MIMOS Berhad, Kuala Lumpur, Malaysia;MIMOS Berhad, Kuala Lumpur, Malaysia;MIMOS Berhad, Kuala Lumpur, Malaysia;MIMOS Berhad, Kuala Lumpur, Malaysia;MIMOS Berhad, Kuala Lumpur, Malaysia;MIMOS Berhad, Kuala Lumpur, Malaysia;MIMOS Berhad, Kuala Lumpur, Malaysia
Venue:
Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia
Year:
2012

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Abstract

This paper presents a video analytics algorithm for detecting event of objects crossing predetermined line-of-interest in the scene in specific direction. A fast blob-based analysis is formulated to detect the event, combined with the object detection and tracking to detect and tracked the object as motion blobs. Proposed algorithm is tested in real outdoor surveillance environment for 24 hours in 3 days to evaluate the detection accuracies in different scenarios. For comparison, the testing is done against a commercial surveillance system. The results show that the proposed algorithm provides better accuracy in all scenarios, while maintaining real-time processing capacity.