Open AccessOcclusion Processing and Tracking Technology of Multiple Targets in Traffic Video Detection
Author(s) -
Yingying Zhao,
Sheng Jiang,
Zhaowei Qu,
Pengfei Tao
Publication year - 2014
Publication title -
advances in mechanical engineering/advances in mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 40
eISSN - 1687-8140
pISSN - 1687-8132
DOI - 10.1155/2014/326395
Subject(s) - scale invariant feature transform , computer vision , artificial intelligence , occlusion , computer science , kalman filter , tracking (education) , feature (linguistics) , principal component analysis , pattern recognition (psychology) , feature extraction , medicine , psychology , pedagogy , linguistics , philosophy , cardiology
This paper reports an algorithm of traffic multiple targets occlusion processing and tracking based on both the prediction of Kalman filtering operators and the processing of the PCA-SIFT (Principle Component Analysis Scale Invariant Feature Transform) feature with the active operators. The Kalman filtering operators are used for both the prediction of occlusion event and the fast location of occlusion area. The template for each target in the occlusion area is built and the PCA-SIFT feature with the active contour operators is used to estimate and trace the multiple targets separately in the area. Through updating, the occlusion processing and tracking of multiple targets continue until the occlusion ends. Obtained results have shown that the algorithm in the paper can solve multiple targets occlusion and tracking effectively and accurately, comparing with the real trajectories