A Moving Human Tracking Approach Based on Semantic Interaction  

作　　者：周宁 方宝红 孙福良 

机构地区：[1]College of Information Engineering,Wuhan University of Technology [2]Academic Affairs Office,Donghua University [3]College of Information Science and Technology,Donghua University

出　　处：《Journal of Donghua University(English Edition)》2007年第1期137-140,共4页东华大学学报（英文版）

基　　金：NSFC Key Project (No50335020)

摘　　要：In order to deal with partical occlusion, a semantic interaction based moving human tracking approach is put forward. Firstly human is modeled as moving blobs which are described as blob descriptions. Then moving blobs are updated and verified by projecting these descriptions. The approach exploits improved fast gauss transform and chooses source and target samples to reduce compute cost. Multi-moving human can be tracked simply and part occlusion can be done well.In order to deal with partical occlusion, a semantic interaction based moving human tracking approach is put forward. Firstly human is modeled as moving blobs which are described as blob descriptions. Then moving blobs are updated and verified by projecting these descriptions. The approach exploits improved fast gauss transform and chooses source and target samples to reduce compute cost. Multi-moving human can be tracked simply and part occlusion can be done well.

关 键 词：semantic interaction tracking partical occlusion IFGT 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]