Research on video imagery moving target intelligent tracking and locating based-on combined model

Authors:
Wu Zhenfeng;Ding Xiaoli;Qin Xuan
Affiliations:
The 28th Research Institut, China Electronic Technology Group Corporation, Nanjing, China;The 28th Research Institut, China Electronic Technology Group Corporation, Nanjing, China;The 28th Research Institut, China Electronic Technology Group Corporation, Nanjing, China
Venue:
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Year:
2009

Citing 3
Cited 0

Model-based object tracking in monocular image sequences of road traffic scenes

International Journal of Computer Vision
Issues of representing context illustrated by video-surveillance applications

International Journal of Human-Computer Studies - Special issue: using context in applications
Special Section on Video Surveillance

IEEE Transactions on Pattern Analysis and Machine Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

Based on the study of the current video image analysis and process technology, it is proposed a combined model for video imagery moving target tracking and locating method in order to solve the drawbacks of the current video imagery sequence moving target auto-tracking and locating algorithm in terms of common and engineering use. The proposed combined model shall be focusing on three aspects including moving target matching tracking, locating calculation and motion estimation. The benefits of the proposed model have been proven in traffic monitoring site experiments and engineer application.