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A system and method for classification of moving object during video surveillance

A technology for moving objects and videos, applied in character and pattern recognition, instruments, computing, etc., can solve problems such as low computing cost

Active Publication Date: 2012-02-08
TATA CONSULTANCY SERVICES LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] None of the prior art references discussed above proposes a more economical approach using low computational cost, using simple logic for distinguishing objects during video surveillance, utilizing less memory storage space to avoid frame storage and System and method for classifying moving objects into predetermined categories in video surveillance using less memory storage space when computing distinguishing features

Method used

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  • A system and method for classification of moving object during video surveillance
  • A system and method for classification of moving object during video surveillance
  • A system and method for classification of moving object during video surveillance

Examples

Experimental program
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Effect test

example 1

[0088] Example 1: Human (walking)

[0089] Such as Figure 4 As shown, a system for classifying moving objects during video-based surveillance is tested. Allows a person to walk across the working area of ​​video surveillance. Raw frames with the background are captured via a video capture device. Objects are segmented and extracted from captured frames. The extracted object is divided into two parts, ie, an upper half and a lower half. The center of gravity (C.G.) is calculated considering the upper half of the image, and the vertical line passing through C.G. divides the lower half into two parts, namely, the lower left half and the lower right half. Considering the lower left half of the extracted object, the variance of that part of the object residing in the lower left half from the vertical line passing through C.G. is calculated. Similarly, 16 consecutive frames were analyzed for calculating the variance of the center of gravity. In this particular example, the ...

example 2

[0090] Example 2: A moving two-wheeler (vehicle)

[0091] Such as Figure 5 When analyzing a moving two-wheeler (vehicle) in the video surveillance range as shown, following the same procedure explained in the first example, 16 consecutive frames were analyzed. In this particular case, the C.G. variance was calculated to be 1.6100 for 16 consecutive frames.

example 3

[0092] Example 3: A moving car (vehicle)

[0093] Such as Image 6 When analyzing a moving car in the video surveillance range shown, following the same procedure explained in the first example, 16 consecutive frames are analyzed. In this particular case, the C.G. variance was calculated to be 0.2400 for 16 consecutive frames.

[0094] Advantages of the invention:

[0095]1) The present invention provides a system for classifying moving objects during video-based surveillance, where only the set of centroids calculated from the sequence of frames has to be stored for variance calculation. There is no need to store object images from frame sequences. This saves memory space in the video surveillance system.

[0096] 2) The present invention uses less complex logic for classifying moving objects during video surveillance.

[0097] 3) The calculation cost of the present invention is low.

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Abstract

A system for classifying moving objects during video based surveillance comprising steps of: capturing silhouette image of moving object, resizing the captured image, computing average height to width ratio and center of gravity for the object in the resized image, dividing resized image, comparing the average height to average width of the object and further comparing variance of center of gravity with the predetermined threshold value to classify the object in the captured silhouette into predetermined classes.

Description

technical field [0001] The present invention relates to systems and methods for video surveillance. More specifically, the present invention relates to systems and methods for classifying moving objects during video surveillance. Background technique [0002] Round-the-clock human surveillance in sensitive areas is laborious. Even with cameras installed in most security-critical locations, the amount of data generated by video is so large that it can require staggeringly large data storage needs. [0003] There is an ever-increasing need for effective video surveillance. The term surveillance applies to observation from a distance by means of electronic equipment such as CCTV cameras. Surveillance benefits private and government security agencies to maintain social control, identify and monitor threats, and deter / research trespassing and criminal activity. Video surveillance is used almost everywhere, including in sensitive areas and such as airports, nuclear power plant...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06V10/42
CPCG06V10/42
Inventor B·塞斯纳M·约翰P·帕拉尼潘S·加纳帕蒂
Owner TATA CONSULTANCY SERVICES LTD