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Vision-Based Human Activity Recognition

Part of the SpringerBriefs in Intelligent Systems Book Series

DOI: 10.1007/978-981-19-2290-9

ISBN: 978-981-19-2289-3

Publisher: Springer Nature Singapore - Springer Journals

Apr 23, 2022

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Chapter 1Introduction

Hu, Zhongxu; Lv, Chen

Pages: 1 –11

[This chapter gives an overview of human activity recognition as well as its commonly used sensors. We start from the background and challenges in vision-based human activity recognition. Then the related specific tasks are sorted out and the general solutions are briefly introduced. The...
LitStream

Chapter 2Vision-Based Hand Activity Recognition

Hu, Zhongxu; Lv, Chen

Pages: 13 –56

[This chapter focuses on the hand activity recognition topics, including hand pose estimation, the static and dynamic hand gesture recognition. The research background is reviewed, and the various approaches have been surveyed and sorted out. Basically, deep learning-based methods are the...
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Chapter 3Vision-Based Facial Activity Recognition

Hu, Zhongxu; Lv, Chen

Pages: 57 –88

[This chapter introduces the facial-related explicit activities using the low-cost camera, including head pose estimation and tracking, gaze direction estimation, and gaze fixation tracking. The facial activities are important cues that can indicate human attention and intention, which are the...
LitStream

Chapter 4Vision-Based Body Activity Recognition

Hu, Zhongxu; Lv, Chen

Pages: 89 –108

[The chapter systematically sorts out the human body-related activity recognition tasks based on the visual sensors, including body pose estimation, action recognition, and body reconstruction. The corresponding state-of-the-art approaches are summarized and introduced. As an important...
LitStream

Chapter 5Vision-Based Human Attention Modelling

Hu, Zhongxu; Lv, Chen

Pages: 109 –117

[This chapter is primarily concerned with human attention modelling, specifically the human driver. Previous related studies have typically focused on a single side without providing a comprehensive understanding. As a result, this chapter introduces a context-aware human driver attention...
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Chapter 6Conclusions and Recommendations

Hu, Zhongxu; Lv, Chen

Pages: 119 –121

[Despite the promising achievements introduced in the previous chapters, there are still unsettled issues that hinder the development of human activity recognition. In this chapter, we conclude the current progress and give a discussion on these issues as well as research opportunities in the...

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