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This work describes a method for accurately tracking persons in indoor surveillance video stream obtained from a static camera with difficult scene properties including illumination changes and solves the major occlusion problem. First, moving objects are precisely extracted by determining its motion, for further processing. The scene illumination changes are averaged to obtain the accurate moving...
We propose a method to detect events and event boundaries in soccer videos by using web-casting texts and audio-visual features. The events and their inaccurate time information given in web-casting texts need to be aligned with the visual content of the video. We overcome this issue by utilizing textual, visual and audio features. Existing methods assume that the time at which the event occurs is...
Traditionally, surveillance systems only focus on a small number of entities (such as humans, entrance and exit areas, etc.) and appearance models of these entities are uploaded manually in the system. However, as the end users are becoming more aware of the vision based technologies, there is ever growing demand for advanced surveillance systems which can detect complex abnormal events on different...
This paper proposed a framework for goal event detection in soccer videos by using multi-clues detection rules. In this framework, the visual clues including shot segmentation, shot classification and goal detection is extracted. Meanwhile, the audio clues including the audience's cheering and the commentator' excited speech are extracted. Then the goal event detection rules are defined by combining...
The extraction of playing shots is helpful for video analysis. In this paper, we propose an algorithm: first, the shots are segmented by detecting the shot boundaries (both abrupt cuts and gradual transitions), and wipes are discarded directly; then from the rest shots, playing shots are extracted by shot classification. Experimental results confirm the efficiency of our proposed algorithm.
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