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Moving body detection method and moving body detection device

A detection method and technology for moving objects, which are applied in image data processing, instrumentation, computing, etc., can solve the problem that the method for detecting moving objects is not disclosed.

Inactive Publication Date: 2012-11-21
PANASONIC CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the main purpose of Non-Patent Document 1 is to visualize the similarity between images by projecting multiple images into a low-dimensional space. In the state of various posture changes, the method of correctly detecting moving objects has not been disclosed

Method used

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  • Moving body detection method and moving body detection device
  • Moving body detection method and moving body detection device
  • Moving body detection method and moving body detection device

Examples

Experimental program
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Embodiment 1

[0057] figure 1 A functional block diagram showing the configuration of the moving object detection device 100 in the first embodiment. like figure 1 As shown, the moving object detection device 100 includes: an image input unit 101 , a motion analysis unit 102 , a distance calculation unit 103 , an area division unit 104 , and an output unit 105 . Furthermore, the moving object detection device 100 detects the moving object in the moving image by performing region division, and the region dividing refers to determining all or a part of the region of the moving object in the moving image.

[0058] The image input unit 101 is a processing unit that accepts input of a plurality of images (pictures) at different times constituting a dynamic image, such as a TV camera or a communication interface connected to the TV camera.

[0059] The motion analysis unit 102 is a processing unit that detects the motion of images between two temporally adjacent screens according to a block com...

Embodiment 2

[0175] Next, in the second embodiment, a method different from that in the first embodiment will be described to describe a method for realizing the region division of the nonlinear space performed in the above-mentioned first embodiment.

[0176] Figure 10 It is a functional block diagram showing the configuration of the moving object detection device 10a in the second embodiment. The mobile detection device 100a is as Figure 10 It includes an image input unit 101 , a motion analysis unit 102 , a distance calculation unit 103 , an area division unit 104 a (area division candidate generation unit 501 and area division candidate selection unit 502 ), and an output unit 105 . Since the image input unit 101 , the motion analysis unit 102 , and the distance calculation unit 103 are the same as those in the first embodiment, detailed description thereof will be omitted.

[0177] The area dividing unit 104a specifies an area composed of blocks having similar movement trajectorie...

Embodiment 3

[0264] In this embodiment, the mobile object detection method described in Embodiment 0, Embodiment 1, and Embodiment 2 is used to add the function of predicting the motion of the moving object according to the results of detecting the moving object and performing area division. The mobile object detection device will be described. Here, although it demonstrates based on Example 1, it can implement similarly in Example 1, Example 2, and the modification of these examples.

[0265] Figure 18 It is a functional block diagram showing the configuration of the moving object detection device 100d in the third embodiment. like Figure 18 As shown, in addition to the image input unit 101, the motion analysis unit 102, the distance calculation unit 103, the area division unit 104, and the output unit 105, the moving object detection device 100d in this embodiment also includes a motion prediction unit 1401, Therefore, it has the function of predicting the motion of the moving body....

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Abstract

Provided is a moving body detection method capable of performing correct region splitting even on an image including a subject such as a person who moves while changing his / her own shape. The method comprises: a step (S101) of receiving a plurality of pictures constituting a moving image; steps (S102 and S103) of detecting image motions between two temporally adjacent pictures on a per block basis, the block including one or more pixels constituting a picture, and calculating movement loci by linking the detected motions of the plurality of pictures; a step (S104) of calculating, for the calculated movement loci, the distances representing the similarities between the movement loci; and steps (S105 and S106) of performing region splitting in such a way that: distances smaller than a threshold value among the calculated distances are linked, thereby being converted to geodesic distances; a discontinuity point in the distribution of the obtained geodesic distances is detected; and movement loci separated by a geodesic distance smaller than the detected discontinuity point are defined as one cluster.

Description

technical field [0001] The present invention relates to a method for detecting a moving object in an image, and in particular to a method for detecting a moving object by performing region division in a dynamic image composed of a plurality of images according to the motion information of the image. The region division performed refers to, Identify all or part of the area of ​​a moving body such as a person that moves with a change in shape. Background technique [0002] As one technique for detecting a moving object such as a person who moves with a change in shape from an image, and performing region division on an image including the moving object, there are, for example, a method of extracting a candidate region of an object from an image, and a method for extracting The candidate regions of the object are combined by applying a method of applying object models prepared in advance (for example, refer to Patent Document 1 and Non-Patent Document 1). For example, in the m...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/20
CPCG06T2207/10016G06T2207/30241G06T7/2006G06T2207/30196G06T7/215
Inventor 岩崎正宏登一生
Owner PANASONIC CORP