Nighttime vision monitoring method based on information fusion

A vision and image fusion technology, applied in the field of pattern recognition, which can solve the problems of low information volume, inability to directly apply night vision monitoring, and inability to monitor target scenes.

Inactive Publication Date: 2009-04-15
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF0 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem that the existing technology cannot be directly applied to nighttime visual monitoring and cann

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Nighttime vision monitoring method based on information fusion
  • Nighttime vision monitoring method based on information fusion
  • Nighttime vision monitoring method based on information fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] Various details involved in the technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be pointed out that the described embodiments are only intended to facilitate the understanding of the present invention, rather than limiting it in any way.

[0041] The minimum configuration of hardware required by the method of the present invention is: P43.0G CPU, a computer with 512M internal memory; a surveillance camera or a DV camera with a minimum resolution of 320x240; a video capture card with a frame rate of 25 frames per second. On the hardware with this level of configuration, the method is realized by programming in C++ language, which can achieve real-time processing.

[0042] figure 1 The flow chart of night vision monitoring method based on information fusion is given. Firstly, image enhancement is performed on the nighttime image sequence collected by the camera, and then the moving ob...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a night visual monitoring method based on information fusion to aim at the characteristics of low contrast, low Signal-to-Noise and low information load of night visual monitoring. At first, image enhancing is carried out on image sequences collected at night; then moving target detection is carried out on the image sequence which is enhanced; then the illumination area of the night image sequence is extracted and finally image fusion is carried out on an interested target (night moving target, the night illumination area) and a background image under the same scene in the day. The night visual monitoring method based on information fusion has very important meanings to improve the capacity of the intelligent monitoring system of next generation to pick out the night monitoring scene. The night visual monitoring method based on information fusion is used for intelligent visual monitoring at night and provides a practical scheme for the night monitoring, thus leading the monitoring system to be capable of really understanding what is happening under a scene; the night visual monitoring method based on information fusion is used for detecting a night moving target to improve the detection quality of the moving target and is used for human-computer interaction to help the human beings to have more comprehensive and clearer description on the monitoring scene.

Description

technical field [0001] The invention belongs to the field of pattern recognition, relates to technologies such as image processing and computer vision, and in particular relates to related processing of night vision monitoring. Background technique [0002] Modern society is a densely populated society with highly complex behaviors. As an extension of human vision, cameras play a very important role in all aspects of human society. Nowadays, in the face of more and more emergencies, it is difficult for the traditional monitoring system, that is, the human-based monitoring system, to analyze and understand the massive video data, which shows the difficulty and importance of monitoring more and more. The difference between the intelligent visual surveillance system and the traditional surveillance system lies in its intelligence. Computers are used instead of humans to assist humans in the analysis and understanding of video data, and to reduce human intervention as much as p...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): H04N7/18G06T7/20
Inventor 谭铁牛黄凯奇蔡莹皓
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products