image sensors; neural nets; support vector machines; video surveillance; SVM classifiers; automatic event detection system; camera position; camera surveillance; grid based features; grid resolution; learning machines; localized information; neural network; pedestrianly event detection; public areas; video surveillance systems; Accuracy; Artificial neural networks; Event detection; Explosions; Feature extraction; Support vector machines; Surveillance; event classification; event detection; grid-based features; machine learning; surveillance;
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机译:环形交叉路口和人行横道上的行人事件视频检测与分类。总结报告。