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Visual human motion understanding in the Wild

Visual human motion understanding is a key computer vision task that aims at understanding the placement, trajectories, and future actions of humans in a unconstrained natural scene. This field includes the key tasks of finding people in a scene through people detection, segmentation and pose estimation, understanding movement through people tracking, and recognizing people behaviors through motion trajectories. Recently, there has been increasing interest from the academic vision community about this topic, as well as from communities in industry due to its applications in a number of fields. For example, safe mobile robot navigation, including autonomous driving depends on robots (cars) being able to recognize where nearby pedestrians are and what they might do next. Likewise, human motion understanding is key for smart surveillance, athletic performance analysis, and VR applications, human computer interaction, among others.

Edited by Shengping Zhang, Huiyu Zhou, Xiangyuan Lan, Lei Zhang, Christophoros Nikou

  1. Content type: Research

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    Authors: Gang Pan, Yaoxian Zheng, Rufei Zhang, Zhenjun Han, Di Sun and Xingming Qu

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:15

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