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We propose a novel approach for the crowd anomaly detection in multiple cameras with non-overlapping and visible views. As we all know that there are some kinds of information hidden in the non-overlapping fields always. In this paper, we will mine time dependence data so that we can analyze the crowd anomaly detection from time dimension's angle. Firstly, we have to preprocess the real scene using...
In this paper, we present a real-time running detection system from a moving camera. 11 fps and satisfying detection accuracy in outdoor surveillance environment can be achieved in the system, using only one processing thread without resorting to special hardware like GPU. Real-time and high accuracy detection are made possible by two contributions. First, we use a succession of preprocessing methods...
Crowd control and management is a very important task in public places. Historically, many crowd disasters happened because of the loss of control of the crowd flow direction. This paper presents an intelligent surveillance system based on RANSAC (Random Sample Consensus) algorithm, which can estimate the crowd flow direction and classify people into different crowd groups. We calculate the optical...
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