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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...
Data in many image and video analysis tasks can be viewed as points drawn from multiple low-dimensional subspaces with each subspace corresponding to one category or class. One basic task for processing such kind of data is to separate the points according to the underlying subspace, referred to as subspace clustering. Extensive studies have been made on this subject, and nearly all of them use unconstrained...
This paper proposes a method to generate a player's view video of an actual soccer match using a 3D free-viewpoint video technique. Users can enjoy 3D video simply by choosing a target player and concentrating on a soccer match from the player's view by manually controlling the viewing position. The generated video provides an immersive sight as if the user is running on the pitch. To generate the...
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