A survey on still image based human action recognition

Recently still image-based human action recognition has become an active research topic in computer vision and pattern recognition. It focuses on identifying a person׳s action or behavior from a single image. Unlike the traditional action recognition approaches where videos or image sequences are us...

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Veröffentlicht in:Pattern recognition Jg. 47; H. 10; S. 3343 - 3361
Hauptverfasser: Guo, Guodong, Lai, Alice
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Kidlington Elsevier Ltd 01.10.2014
Elsevier
Schlagworte:
Action recognition
Applied sciences
Artificial intelligence
Character recognition
Computer science; control theory; systems
Evaluation
Exact sciences and technology
Feature recognition
Human
Image processing
Information, signal and communications theory
Internet
Object recognition
Pattern recognition
Pattern recognition. Digital image processing. Computational geometry
Signal and communications theory
Signal processing
Signal representation. Spectral analysis
Signal, noise
Still image based
Survey
Telecommunications and information theory
Temporal logic
Various cues
Action recognition
Various cues
Evaluation
Survey
Databases
Still image based
Computer vision
State of the art
Image recognition
Background
Image retrieval
Video signal
Information retrieval
Review
Pattern recognition
Clutter
Image analysis
Image sequence
Database
Fixed image
Signal processing
Internet
Motion analysis
ISSN:0031-3203, 1873-5142
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Zusammenfassung:Recently still image-based human action recognition has become an active research topic in computer vision and pattern recognition. It focuses on identifying a person׳s action or behavior from a single image. Unlike the traditional action recognition approaches where videos or image sequences are used, a still image contains no temporal information for action characterization. Thus the prevailing spatiotemporal features for video-based action analysis are not appropriate for still image-based action recognition. It is more challenging to perform still image-based action recognition than the video-based one, given the limited source of information as well as the cluttered background for images collected from the Internet. On the other hand, a large number of still images exist over the Internet. Therefore it is demanding to develop robust and efficient methods for still image-based action recognition to understand the web images better for image retrieval or search. Based on the emerging research in recent years, it is time to review the existing approaches to still image-based action recognition and inspire more efforts to advance the field of research. We present a detailed overview of the state-of-the-art methods for still image-based action recognition, and categorize and describe various high-level cues and low-level features for action analysis in still images. All related databases are introduced with details. Finally, we give our views and thoughts for future research. •A comprehensive survey of the research works on still image-based action recognition is conducted, for the first time.•Categorization of existing approaches into different categories with a clear organization is done.•Some thoughts for future research are presented to inspire new efforts in the field.
Bibliographie:ObjectType-Article-2
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ISSN:0031-3203
1873-5142
DOI:10.1016/j.patcog.2014.04.018