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Titlebook: Semantic Analysis and Understanding of Human Behavior in Video Streaming; Alberto Amato,Vincenzo Di Lecce,Vincenzo Piuri Book 2013 Springe

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发表于 2025-3-21 19:47:39 | 显示全部楼层 |阅读模式
书目名称Semantic Analysis and Understanding of Human Behavior in Video Streaming
编辑Alberto Amato,Vincenzo Di Lecce,Vincenzo Piuri
视频video
概述Includes supplementary material:
图书封面Titlebook: Semantic Analysis and Understanding of Human Behavior in Video Streaming;  Alberto Amato,Vincenzo Di Lecce,Vincenzo Piuri Book 2013 Springe
描述.Semantic Analysis and Understanding of Human Behaviour in Video Streaming .investigates the semantic analysis of the human behaviour captured by video streaming, and introduces both theoretical and technological points of view. Video analysis based on the semantic content is in fact still an open issue for the computer vision research community, especially when real-time analysis of complex scenes is concerned.. .This book explores an innovative, original approach to human behaviour analysis and understanding by using the syntactical symbolic analysis of images and video streaming described by means of strings of symbols. A symbol is associated to each area of the analyzed scene. When a moving object enters an area, the corresponding symbol is appended to the string describing the motion. This approach allows for characterizing the motion of a moving object with a word composed by symbols. By studying and classifying these words we can categorize and understand the various behaviours. The main advantage of this approach lies in the simplicity of the scene and motion descriptions so that the behaviour analysis will have limited computational complexity due to the intrinsic nature b
出版日期Book 2013
关键词Computer vision; Content based image analysis; Correspondence problem in multi camera system; Grammars
版次1
doihttps://doi.org/10.1007/978-1-4614-5486-1
isbn_softcover978-1-4899-9699-2
isbn_ebook978-1-4614-5486-1
copyrightSpringer Science+Business Media New York 2013
The information of publication is updating

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发表于 2025-3-21 22:43:35 | 显示全部楼层
Conclusions, In this way, a trajectory is transformed into a word by means of the concatenation of all symbols labeling the areas on which the curve lies. Furthermore, since the . has a . behavior, this methodology is able to handle the issues related to the different execution times of the actions.
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Related Work,g the processing chain used to implement such kind of systems and then the attention is focused only on the works aiming at semantic analysis. The works presented in this chapter are classified in: scene interpretation, human recognition and action primitives and grammars.
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Semantic Analysis,mantic level analysis of video streaming recorded into a narrow domain. This methodology is independent by the method proposed into the previous chapter. Since the latter improves the performance of the object tracking algorithm, the former works with or without the latter. This methodology can work
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