標題: Comparison among the Filter Steered robust compressed domain object detection
作者: Ahmad, AMA
Talat, ST
Sheen, WH
資訊工程學系
Department of Computer Science
關鍵字: detection;video objects;Gaussian;median;mean;MPEG;filter
公開日期: 2004
摘要: Object detection in video images is an interesting subject but often heavy task due to the huge volume of available approaches. The comparisons made in this paper between the different categories of algorithms are attained through literary research and are not based on direct quantitative examination. The focus of this work is on algorithms that are useful in real-time applications, realized in compressed domain and Filter Steered. This paper will provide some illumination into the area of object detection by classifying some of the current and more popular Filter Steered techniques.
URI: http://hdl.handle.net/11536/18238
ISBN: 980-6560-13-2
期刊: 8TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL VI, PROCEEDINGS: IMAGE, ACOUSTIC, SIGNAL PROCESSING AND OPTICAL SYSTEMS, TECHNOLOGIES AND APPLICATIONS
起始頁: 13
結束頁: 17
顯示於類別:會議論文