关键词: 多目标跟踪 活动状态分类 活动状态预测 均值平移 遮挡预测

Abstract:

Object occlusion is a difficulty in multiple object tracking in video with a fixed camera. A multiple object tracking algorithm is introduced based on  the object activity prediction and classification for processing this difficulty. Object activities are classified into six classes. Then object activi ties are classified through moving region matching. Object occlusion is predicted using the Kalman filtering, and the objects in different status are pr  ocessed by different methods of locating and template updating. Experimental results show the good adaptability of the algorithm in multiple object trac  king.

Key words: multiple object tracking, obj ect activity classification, object activity prediction, meanshif t, occlusion predicion