We present a computational approach to abnormal visual event detection, which is based on exploring and modeling local motion patterns in a non-linear subspace. We use motion vect...
We present a method that automatically detects chewing events in surveillance video of a subject. Firstly, an Active Appearance Model (AAM) is used to track a subject’s face acr...
To exactly detect what events occur in baseball games, a framework that integrates rule-based and model-based decision methods is proposed. The rule-based decision module infers w...
Due to the repetitive and lengthy nature, automatic content-based summarization is essential to extract a more compact and interesting representation of sport video. State-of-the ...
This paper presents our experiments on TRECVID workshop 2008. This year we participated in two challenging tasks, rushes video summarisation and video copy detection tasks. We stu...