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• W2940774500 abstract "With the development of unmanned-driving car technology, there are higher requirements for the intelligence, safety and stability of intelligent vehicle driving. Especially in a complex and uncertain environment, the driverless car can accurately detect the pedestrian action, which can effectively realize the autonomous driving of the vehicle. This requires that vehicles detect pedestrians firstly, then identify pedestrian body language and try to understand their intentions, predict pedestrian’s actions, which form a good interaction cognition between human and vehicle. In this paper, we give a detailed survey about the recent and state-of-the-art research methods in the filed of human action recognition and discuss their advantages and limitations. We analysis the main framework of motion recognition, and summarize the common datasets of this filed. Finally, suggestions for future research directions are offered, which is expected to benefit the follow research." @default.
• W2940774500 created "2019-05-03" @default.
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• W2940774500 date "2019-01-01" @default.
• W2940774500 modified "2023-09-27" @default.
• W2940774500 title "Survey of Pedestrian Action Recognition in Unmanned-Driving" @default.
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• W2940774500 doi "https://doi.org/10.1007/978-981-13-7983-3_44" @default.
• W2940774500 hasPublicationYear "2019" @default.
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