Abstract. Crowd behavior recognition is becoming an important research topic in video surveillance for public places. In this paper, we first discuss the crowd feature selection a...
Many applications require tracking and recognition of multiple faces at distances, such as in video surveillance. Such a task, dealing with non-cooperative objects is more challeng...
Rong Liu, Xiufeng Gao, Rufeng Chu, XiangXin Zhu, S...
Autonomous video surveillance and monitoring has a rich history. Many deployed systems are able to reliably track human motion in indoor and controlled outdoor environments. Howev...
Kaiqi Huang, Liangsheng Wang, Tieniu Tan, Stephen ...
We propose a novel nonlinear, probabilistic and variational method for adding shape information to level setbased segmentation and tracking. Unlike previous work, we represent sha...
In this paper, we present how appearance-based features can be used for the recognition of words in American sign language (ASL) from a video stream. The features are extracted wit...