Abstract
Efficient video content analysis is an unsolved problem, especially for real-life surveillance videos due to their low resolution and illustration variations. A novel framework to efficiently and robustly convert a surveillance video clip into one abstraction image containing the integrated contour of interested objects is proposed. It has the following novelties: 1) an improved w-SIFT algorithm for Y-axis frames offset calculation, 2) a trapezoid-based compensation algorithm for X-axis perspective distortion correction, and 3) an incremental video content integration approach. Experimental results show that our method is robust for real-life low resolution videos and efficient for real-time analysis.
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Wang, L., Wu, Y., Tian, Z., Sun, Z., Lu, T. (2010). A Novel Approach for Robust Surveillance Video Content Abstraction. In: Qiu, G., Lam, K.M., Kiya, H., Xue, XY., Kuo, CC.J., Lew, M.S. (eds) Advances in Multimedia Information Processing - PCM 2010. PCM 2010. Lecture Notes in Computer Science, vol 6298. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15696-0_61
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DOI: https://doi.org/10.1007/978-3-642-15696-0_61
Publisher Name: Springer, Berlin, Heidelberg
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