Titlebook: Video Analytics for Business Intelligence; Caifeng Shan,Fatih Porikli,Shaogang Gong Book 2012 Springer Berlin Heidelberg 2012 Business Int

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馬賽克

978-3-662-52028-4Springer Berlin Heidelberg 2012

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Auto-calibration of Non-overlapping Multi-camera CCTV Systemsstarting from single camera calibration thereby bringing the problem to a reduced form suitable for multi-view calibration. It extends the standard bundle adjustment by a smoothness constraint to avoid the ill-posed problem arising from missing point correspondences. The stratified optimization supp

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Fast Approximate Nearest Neighbor Methods for Example-Based Video Searchction. Then the clips with the highest similarity values can be returned as the answer-set. However, as the number of the videos in the collection grows, such computation becomes prohibitively expensive. In order to show sub-linear growth any large-scale algorithm needs to exploit some properties of

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Scene Invariant Crowd Counting and Crowd Occupancy Analysisre unseen in the training data, and be trained on significantly less data. Scene invariance is achieved through the use of camera calibration, allowing the system to be trained on one or more viewpoints and then deployed on any number of new cameras for testing without further training. A pre-traine