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Video signal analysis

A video signal and parameter technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of restricting the application of traditional expression methods, not easy to pre-define the meaning of attention events or abnormal behaviors, etc.

Inactive Publication Date: 2009-02-18
BRITISH TELECOMM PLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in many real-world scenarios, crowded scenes need to be analyzed, thus limiting the application of traditional representation methods
Also, in such scenarios, the semantics are not necessarily clear; it is not easy to predefine the meaning of events of interest or abnormal behavior

Method used

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  • Video signal analysis
  • Video signal analysis
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Experimental program
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Embodiment Construction

[0023] We will now describe an algorithm designed for analyzing very crowded dynamic visual scenes and scenes that are not easily represented with explicit semantics. For these types of scenes, traditional object-centric analysis paradigms that rely on tracking a large number of objects simultaneously (eg, surveillance of low-density scenes) do not work. On the other hand, simple motion-based analysis methods that rely on explicit modeling of known events also do not work due to the fact that the scene has no well-defined semantics. The latter approach works in specific situations, eg, detecting pedestrians going the wrong way in a one-way underpass, where the requirements (or semantics) are simple and explicit.

[0024] The developed solution is somewhat intermediate between (high-level) object-based analysis and (low-level) motion-based visual scene analysis. The solution is an intermediate-level analysis method that uses some form of local change information and low-level ...

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Abstract

A video signal is analysed by deriving for each frame a plurality of parameters,the said parameters including (a) at least one parameter that is a function of the difference between picture elements of that frame and correspondingly positioned picture elements of a reference frame; (b) at least one parameter that is a function of the difference between picture elements of that frame and correspondingly positioned picture elements of a previous frame; and (c) at least one parameter that is a function of the difference between estimated velocities of picture elements of that frame and the estimated velocities of the correspondingly positioned elements of an earlier frame. Based on these parameters, each frame is assigned one or more of a plurality of predetermined classifications. Scene changes may then be identified as points at which changes occur in these classification assignments.

Description

technical field [0001] The present invention relates to the analysis of video signals. Background technique [0002] With the widespread application of IP-CCTV systems in security, safety and information collection, a large amount of video data is generated every day. For example, Heathrow Airport alone has more than 6,000 surveillance cameras installed. In order to process these massive video data, it is urgent to design intelligent video analysis / understanding algorithms to effectively "filter" the input video stream, and only pass the object / event / behavior information related to specific domain applications to human operators, For its operation or decision-making, including abnormal event detection, scene summary, browsing and understanding, etc. [0003] Video data captured by surveillance cameras is in the form of a data image, represented by a collection of unrelated pixels. Valuable information is often buried in this disorganized data. To make better use of image...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20G08B13/196
CPCG08B21/0476G06K9/00778G06K9/00785G08B13/19613G06T7/2053G06T7/254G06V20/53G06V20/54
Inventor 安德里亚·卡瓦拉罗许利群
Owner BRITISH TELECOMM PLC