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Method of tracking objects in a video sequence

A video sequence and target technology, applied in the field of tracking targets in video sequences, can solve problems such as failure, reduced appearance tracking effect, high complexity and computational cost

Active Publication Date: 2008-03-12
BRITISH TELECOMM PLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Disadvantageously, the generation and use of correlograms involves high complexity and computational cost
[0010] Also, in situations where the subject's appearance changes suddenly (for example, if the person walks behind a desk and only the upper part of his or her body is visible) , which will significantly reduce the effectiveness of appearance-based tracking
In fact, appearance-based tracking usually fails completely in such cases

Method used

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  • Method of tracking objects in a video sequence
  • Method of tracking objects in a video sequence
  • Method of tracking objects in a video sequence

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Embodiment Construction

[0034] Referring to FIG. 2 , the intelligent video surveillance system 10 includes a camera 25 , a personal computer (PC) 27 and a video monitor 29 . Conventional data input devices including a keyboard 31 and a mouse 33 are connected to the PC 27 . Camera 25 is a digital camera, and may for example be a webcam, such as a Logitec TM Pro 4000 color network camera. Any camera capable of outputting digital image data may be used, for example, a digital camcorder or an analog camera having an analog-to-digital conversion device (eg, a frame grabber). The captured video is then encoded using a standard video encoder (eg motion JPEG, H.264, etc.). The camera 25 communicates with the PC 27 via a network 35, wherein the network 35 can be any network, such as a local area network (LAN), a wide area network (WAN) or the Internet. Camera 25 and PC 27 are connected to network 35 via respective network connections 37, 39 (eg, Digital Subscriber Line (DSL) modems). Alternatively, the w...

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Abstract

A video surveillance system (10) comprises a camera (25), a personal computer (PC) (27) and a video monitor (29). Video processing software is provided on the hard disk drive of the PC (27). The software is arranged to perform a number of processing operations on video data received from the camera, the video data representing individual frames of captured video. In particular, the software is arranged to identify one or more foreground blobs in a current frame, to match the or each blob with an object identified in one or more previous frames, and to track the motion of the or each object as more frames are received. In order to maintain the identity of objects during an occlusion event, an appearance model is generated for blobs that are close to one another in terms of image position. Once occlusion takes place, the respective appearance models are used, in combination with a depth factor representing the depth order of the occluded objects, to segment the resulting group blob into regions which are classified as representing one or other of the merged objects.

Description

technical field [0001] The present invention relates to a method of tracking objects in a video sequence, and more particularly, but not exclusively, to a method performed by a digital video processing device receiving video frames from a camera or other video source. Background technique [0002] Digital video processing is widely used. For example, modern video surveillance systems often employ digital processing techniques to provide information about moving objects in the video. Such systems typically include a video camera connected to the computer system via a direct connection or network link. The computer system runs software provided to process and analyze the video data provided from the camera. [0003] Figure 1 is a block diagram showing the software-level steps of a known surveillance system. The surveillance system consists of three main blocks, namely object segmentation block 1 , robust tracking block 3 and object classification block 5 . [0004] In the ...

Claims

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Application Information

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IPC IPC(8): G06T7/20G06V10/24
CPCG06T2207/10016G06T7/2006G06T7/208G06T7/2046G06T2207/20144G06K9/32G06K9/00771G06T7/215G06T7/251G06T7/277G06T7/194G06V20/52G06V10/24
Inventor 许利群佩雷·普伊赫·福尔奇
Owner BRITISH TELECOMM PLC
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