01867nas a2200193   4500008004100000245007800041210006900119260000900188300001400197490000600211520121800217653002801435653001701463653001901480653001901499100002001518700001801538856011701556       2006                        eng d00aAn intelligent paradigm for multi-objects tracking in crowded environment0 aintelligent paradigm for multiobjects tracking in crowded enviro  c2006  a184 - 1910 v43 aIn this paper, we describe a novel object tracking technique in color video sequences, with application to multi-object tracking in crowded scenes. The proposed paradigm integrates object detection into the object tracking process and provide a robust tracking framework under ambiguity conditions. In order to reduce the computational complexity and to increase the robustness, we use a tri-sectional structure. i.e., firstly it distinguishes between real world objects, secondly extracts image features like motion blobs and color patches and thirdly abstracts objects like meta-objects that shall denote real world objects. Through such a tight integration of the motion blobs and color patches, as well as the global optimization of object trajectories, we have accomplished not only robust and efficient multi-object tracking, but also the ability to deal with merging/splitting of objects, irregular object motions, changing appearances, etc. which are the challenging problems for the most traditional tracking methods. The efficiency of the suggested technique for multi-objects detection and tracking will be demonstrated in this paper on the basis of analysis of strongly disturbed real image sequences.10aColour video processing10aMDI approach10aMoving objects10aObject motions1 aAl-Hamadi, A.K.1 aMichaelis, B.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-33749373594&partnerID=40&md5=13a4c51b2ea671d5b5b5f2b0e05705e2