Method and system for detecting and verifying specific foreground objects

A promising and specific technology, applied in the field of detection and verification, can solve the problems of dark scenes, inability to detect, high false detection rate, etc.

Active Publication Date: 2013-01-02
RICOH KK
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the process of practical application, this image processing technology that uses video captured by ordinary cameras to detect participants faces many problems: such as low detection rate, high false detection rate, and inability to real-time, etc. The behavior complexity of the participants in the scene, the light of the scene is relatively dark, and the brightness of the scene usually has a sudden change
However, the patent application can only detect human faces, so other parts of people or other objects appearing in the scene cannot be detected

Method used

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  • Method and system for detecting and verifying specific foreground objects
  • Method and system for detecting and verifying specific foreground objects
  • Method and system for detecting and verifying specific foreground objects

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Embodiment Construction

[0031] Hereinafter, specific embodiments of the present invention will be described in detail with reference to the accompanying drawings.

[0032] figure 1 What is shown is a schematic diagram of a scene using the method and system for detecting and verifying foreground objects of the present invention. Shooting is carried out by a three-dimensional camera, and the present invention processes the shot data at the same time. The output can be displayed on a display device.

[0033] figure 2Shown is a flow chart of the detection and verification method for foreground objects according to the present invention. First, at step 11, the depth map acquisition unit U10 acquires depth information of the current environment, and creates a depth map of the current environment based on the obtained depth information. Subsequently, at step 12, the background modeling unit U13 compares the created depth map of the current environment with the depth of each pixel in the initialized bac...

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Abstract

The invention provides a method and a system for detecting and verifying a plurality of specific foreground objects in an image. The method includes that a background model is built according to dynamic changes of the distance of pixel points in the image; a foreground area is obtained by removing the background model from a current image; the foreground area is divided; and each foreground is verified whether to be a specific object of some class. The specific object can be a person or a chair and the like. The method and the system for detecting and verifying specific foreground objects achieve fast algorithm of detection, improve detection accuracy, and reduce false detection rate.

Description

technical field [0001] The present invention relates to a method and system for detecting and verifying objects in the foreground of an image, and more particularly relates to a method and system for detecting and verifying specific objects using captured depth images. Background technique [0002] In various applications such as human-computer interaction, games, and intelligent systems, it is usually necessary to conduct video surveillance on the participating personnel, and a relatively important link in video surveillance is to detect the participants in the video image, and this detection process must be Image processing is performed on video images containing participants. And these image processing usually adopt common camera shooting to carry out video processing. In the process of practical application, this image processing technology that uses video captured by ordinary cameras to detect participants faces many problems: such as low detection rate, high false det...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T7/00
Inventor 王鑫范圣印
Owner RICOH KK
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