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Method, system, and device for detecting an object in a distorted image

A technique for distorting images, objects, applied in the field of detecting objects in distorted images

Pending Publication Date: 2020-10-23
AXIS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, processor detection of objects in distorted images becomes computationally intensive

Method used

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  • Method, system, and device for detecting an object in a distorted image
  • Method, system, and device for detecting an object in a distorted image
  • Method, system, and device for detecting an object in a distorted image

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Embodiment Construction

[0061] The inventive concept will now be described more fully hereinafter with reference to the accompanying drawings, in which present preferred variants of the inventive concept are shown. However, the inventive concepts may be embodied in many different forms and should not be construed as limited to the variations set forth herein; rather, these variations are provided for thoroughness and completeness, and to fully convey the scope of the inventive concepts to the skilled artisan.

[0062] Detecting objects in distorted images can be problematic when features in the image are distorted. Therefore, one solution is to correct the distorted image before applying the object detection algorithm. Rectification is the process of inverting a distorted image into a linear projected image, for which object detection algorithms work better. However, the correction itself is a computationally intensive operation that not only places a burden on the processor but also takes up valuab...

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Abstract

The present invention relates to a method, a system, and a device for detecting an object in a distorted image. The method comprises: receiving (S302) an inverse of a mathematical representation of adistortion of the first distorted image (600), wherein the detection of an object comprises sliding (S304) a sliding window (620) over the first distorted image (600) and for each position (630, 634,638) of a plurality of positions in the first distorted image (600): transforming (S306) the sliding window (620) based on the inverse of the mathematical representation of the distortion at the position (630, 634, 638); and using (S308) the transformed sliding window (720, 724, 728) in the sliding window algorithm for object detection at the position (630, 634, 638) in the first distorted image (600).

Description

technical field [0001] The present invention relates to a method, device and system for detecting objects in distorted images. Background technique [0002] An important field of application of cameras is the surveillance of locations. In surveillance applications, a variety of image processing algorithms are typically used to process video of a monitored location. For example, it is common to implement algorithms that automatically detect motion in recorded video. Another example of an important feature is object detection in captured images. The typical approach is then to compare the captured image with images in a reference database. Objects are detected and identified when an object detection algorithm matches features in the captured image to images in a reference database. [0003] However, there are several problems with this algorithm. For example, there are high demands on the images in the reference database. For example, these images must reflect a wide var...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T7/11G06T7/13G06T7/168G06V10/50G06V10/764G06V20/00
CPCG06T3/4023G06T7/13G06T3/4038G06T7/11G06T7/168G06T2207/20132G06T2200/32G06V20/00G06V10/50G06V10/7515G06V10/82G06V10/764G06T3/40G06T7/30G06T7/73G06T5/50G06T2207/20021G06T2207/20081G06T2207/20084G06T2207/20221
Inventor 汉普斯·林瑟袁嵩约翰·佛波哥
Owner AXIS
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