Local stereoscopic vision infrared camera system and method for wild animal monitoring

A wild animal, stereo vision technology, applied in stereo systems, radio wave measurement systems, satellite radio beacon positioning systems, etc., can solve the problems of low field of view utilization, unsuitable for in-situ observation of wild animals, animal interference, etc. Achieve real-time data acquisition and analysis, improve effective detection efficiency, and facilitate monitoring and analysis.

Pending Publication Date: 2020-07-10
INST OF SEMICONDUCTORS - CHINESE ACAD OF SCI
View PDF7 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The TOF camera calculates the distance of the target by the time difference between the transmitted pulse and the returned pulse, and can quickly identify and measure the target. The problem is that the cost is high and the resolution is relatively low, and the TOF camera technology is active imaging, which is easy to cause interference to animals. ;The structured light camera obtains the modulation pattern by projecting structured light on the target surface, and then calculates the target siz...

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
  • Local stereoscopic vision infrared camera system and method for wild animal monitoring
  • Local stereoscopic vision infrared camera system and method for wild animal monitoring
  • Local stereoscopic vision infrared camera system and method for wild animal monitoring

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] At present, the typical application of infrared cameras in the field of wildlife monitoring is to estimate the population of animals by combining the mark-recapture method, which was proposed by Karanth in 1995. This method has two main problems in practical application:

[0057] (1) The effective detection rate is low

[0058] The effective detection rate is the ratio of identifiable photos to all photos. When infrared cameras are actually used in wildlife observation, there will be a large number of images that do not contain targets or only contain part of the targets, resulting in a low effective detection rate. The effective detection rate is related to many factors such as the shooting environment, the installation method of the infrared camera, the field of view of the infrared camera, the sensitivity of the infrared sensor, and the response time of the system.

[0059] (2) Lack of size information

[0060] When the shooting conditions are bad and the image qu...

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 provides a local stereoscopic vision infrared camera system and method for wild animal monitoring. The local stereoscopic vision infrared camera system comprises two image acquisition modules, an induction triggering module, a synchronous control module and an image processing module; the two image acquisition modules are arranged up and down, and the view fields are partially overlapped; the two image acquisition modules are used for synchronously acquiring binocular images; the induction trigger module is used for infrared induction of wild animal motion information and acquisition of infrared signals; the synchronous control module receives a trigger signal sent by the induction trigger module and controls the two image acquisition modules to be opened and closed; and theimage processing module receives the binocular images acquired by the two image acquisition modules, corrects the binocular images according to calibrated internal and external parameters and lens distortion information, performs binocular matching on the view field overlapping part, and measures the wild animal size in a three-dimensional way. According to the invention, the field of view is expanded, the effective detection efficiency of the animal target is improved, and the high-precision size information of the target can be obtained.

Description

technical field [0001] The present disclosure relates to the field of infrared cameras, in particular to a local stereo vision infrared camera system and method for wild animal monitoring. Background technique [0002] Infrared cameras are often used in the monitoring of wild animals in recent years. Compared with other monitoring methods such as GPS tags and radios, they have the advantages of non-damage, good data robustness, and more additional information. Its basic working principle is to sense the movement information of animals through infrared sensors, and then trigger the camera to take pictures to obtain animal images. [0003] For the acquisition of size information of animal targets, there are currently three main technologies: TOF camera, structured light camera and binocular camera. The TOF camera calculates the distance of the target by the time difference between the transmitted pulse and the returned pulse, and can quickly identify and measure the target. T...

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): G01S19/42G01S11/12H04N13/239H04N13/296
CPCG01S19/42G01S11/12H04N13/239H04N13/296
Inventor 许忠轲孙亮王新伟周燕
Owner INST OF SEMICONDUCTORS - 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