行人检测
计算机科学
行人
深度学习
人工智能
信息融合
融合
传感器融合
计算机视觉
机器学习
工程类
运输工程
语言学
哲学
作者
Rui Qiu,Ming Xu,Yuyao Yan,Jeremy S. Smith
出处
期刊:Studies in big data
日期:2022-01-01
卷期号:: 317-339
被引量:2
标识
DOI:10.1007/978-3-030-95239-6_12
摘要
Although surprisingly good progress has been made in monocular pedestrian detectionPedestrian detection with emerging deep learning techniques, the existing algorithms still suffer from heavy occlusion between people. To cope with this problem, multiple cameras are often used to provide complimentary information. This chapter presents a comprehensive review on the algorithms for multi-view pedestrian detectionPedestrian detection. The existing methods are sorted into low-level fusion, intermediate-level fusion, high-level fusion and deep-learning based fusion, in terms of the degree of information fusion. The challenges in developing deep multi-view algorithms are also described in this chapter.
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