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基于自适应搜索的空时上下文目标跟踪算法
Authors
叶瑞哲
许卓斌
Publication date
5 June 2018
Publisher
Doi
Cite
Abstract
视频监控行业已经快速进入了智能监控的时代.然而,自然非受控条件下获取的视频中,环境复杂多变,对其中各类行人目标检测跟踪带来挑战.针对各种复杂场景及不同目标,如何设计实现效率高、鲁棒性好、实时性强的目标跟踪识别技术仍然是当今业界研究的热点及难点.因此以监控领域非刚性的行人为主要研究对象,拟实现目标稳定检测跟踪,尤其是提高复杂背景下行人跟踪的精度.实验表明本文所提算法的重叠率准则(OR)和跟踪中心误差(CLE)超过现有最优目标跟踪算法算法,同时其跟踪速度也超过大多数算法.福建省教育厅科技项目(AT170435
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Last time updated on 10/06/2020