- Lu Jiang, Zhongwen Xu, Zhenzhong Lan, Shicheng Xu, Xiaojun Chang, Xuanchong Li, Zexi, Mao, Chuang Gan, Yajie Miao, Xingzhong Du, Yang Cai, Lara Martin, Nikolas Wolfe, Anurag Kumar, Huan Li, Ming Lin, Yezhou Yang, Deyu Meng, S. Shan, P. D. Sahin, Susanne, Burger, Florian Metze, Rita Singh, B. Raj, T. Mitamura, R. Stern, Alexander, Hauptmann, Pinar Duygulu-Sahin, Alexander Hauptmann, Yicheng Zhao. 2010. MMM-TJU at TRECVID 2010. Abstract: Surveillance Event Detection Semantic event detection in the huge amount of surveillance video in both retrospective and real-time styles is essential to a variety of higher-level applications in the public security. In TRECVID 2010, to overcome the limitations of the traditional human action analysis method with human detection/tracking and domain knowledge, we evaluate the general framework for multiple human behaviors modeling with the philosophy of bag of spatiotemporal feature (BoSTF). The brief
