A network-based algorithm for recognizing group activities with multiple people and crowded scenes

In this paper, a network-based algorithm is proposed for group activity recognition with multiple people/objects and crowded scenes. This algorithm models the entire scene as an error-free network. With this network, we model objects in the scene as packages while activities as package transmission in the network. By analyzing these “package transmission” processes, activities can be detected. Based on the proposed network-based algorithm, we also propose two implementations to deal with the scenarios of group activities with multiple people/objects and crowded scenes. Experimental results demonstrate the effectiveness of our proposed algorithm.