ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
Human group activity analysis with fusion of motion and appearance information
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Interactive event detection in crowd scenes
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
A new heat-map-based algorithm for human group activity recognition
Proceedings of the 20th ACM international conference on Multimedia
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Human action recognition has been well studied recently, but recognizing the activities of more than three persons remains a challenging task. In this paper, we propose a motion trajectory based method to classify human group activities. Gaussian Processes are introduced to represent human motion trajectories from a probabilistic perspective to handle the variability of people’s activities in group. With respect to the relationships of persons in group activities, three discriminative descriptors are designed, which are Individual, Dual and Unitized Group Activity Pattern. We adopt the Bag of Words approach to solve the problem of unbalanced number of persons in different activities. Experiments are conducted on the human group-activity video database, and the results show that our approach outperforms the state-of-the-art.