摘要
跨摄像头目标跟踪是在多个摄像头之间跟踪具有时间和空间离散性的运动目标,在智能交通、公共安全等领域具有重要应用价值。针对跨摄像头跟踪任务的复杂性,先简要介绍跨摄像头目标跟踪的基本框架,然后详细分析跨摄像头目标跟踪的主要挑战和研究现状,重点介绍摄像头关联模型及图像融合算法,并探讨跨摄像头目标跟踪的发展趋势。
Multi-camera tracking of objects, whose motions are separated both temporally and spatially when they move between cameras, is valuable in intelligent transportation, public security, etc. Aiming at the complexity of multi-camera object tracking, firstly presents a general framework for the tracking system, then, analyzes the main challenges on multi-camera object tracking along with its current research status in detail, and highlights camera correspondence models and image fusion algorithms are. Finally, discusses the trends in multi-camera object tracking.
出处
《现代计算机》
2017年第6期85-90,共6页
Modern Computer
基金
基金项目:四川省科技厅苗子工程(No.0030405301461)
关键词
跨摄像头
目标跟踪
摄像头关联模型
网像融合
Multi-Camera
Object Tracking
Camera Correspondence Model
Image Fusion
