Method for removing vehicle shadow based on multi-feature fusion

A technology of multi-feature fusion and shadow elimination, applied in instruments, character and pattern recognition, computer parts, etc., can solve the problems of lack of connection area segmentation effect and large amount of calculation, and achieve broad market prospects and application value and complexity. The effect of low, precise searches

Inactive Publication Date: 2012-12-26
SOUTHEAST UNIV
View PDF0 Cites 26 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The experimental results in this paper show that this method has better shadow detection results, but this method involves the calculation of color space pixels, which has a large amount of calculation, and the division of edge projection points in this paper is too simple, and the connection area between the vehicle and the shadow The segmentation effect is still lacking

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
  • Method for removing vehicle shadow based on multi-feature fusion
  • Method for removing vehicle shadow based on multi-feature fusion
  • Method for removing vehicle shadow based on multi-feature fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments.

[0051] In the actual road monitoring scene, the camera used for vehicle detection and tracking is generally located directly above the road, and the visual direction is consistent with the direction of the road. To ensure that the direction of the vehicle body in the middle lane (or a specific lane) is basically perpendicular to the abscissa of the image, it is possible Appearing vehicle shadows will be contained within figure 1 shown. The white area in the figure represents the vehicle, and the gray area is the possible shadow range of the vehicle.

[0052] against figure 1 Shown shadow, a kind of vehicle shadow elimination method based on multi-feature fusion that the present invention proposes, flow process is as follows figure 2 As shown, the specific implementation details of each part are as follows:

[0053] (1) Gaussian me...

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 method for removing a vehicle shadow based on multi-feature fusion. A static camera opposite to a road is adopted to extract a target. The method comprises the following steps of: 1) extracting a foreground object including a vehicle and a shadow; 2) carrying out filter treatment on the foreground object; 3) detecting a peripheral point of the foreground object after filter treatment; 4) dividing a projection sequence of the peripheral point by the Otsu threshold segmentation method, and obtaining a preliminary parting surface of the vehicle and the shadow, and 5) utilizing a regional growth search method from the preliminary parting surface, and finishing precise extraction of the shadow by the local texture illumination invariability principle. The method has the advantages of high detection precision, low complexity and strong applicability.

Description

[0001] technical field [0002] The invention belongs to the technical field of video image processing, and in particular relates to a vehicle shadow elimination method based on multi-feature fusion. [0003] Background technique [0004] In the intelligent transportation system, the detection and tracking of moving vehicles is a basic and important research topic, and the shadow problem accompanied by moving vehicles is the main challenge it faces. Due to the existence of shadows, during the detection process, the merging and loss of moving vehicles (shadows cover adjacent vehicles), and the distortion of vehicle shapes (shadows change the segmentation area of ​​​​vehicles), affect various subsequent advanced processing, such as target Classification, behavioral understanding, etc. At present, there are many shadow removal algorithms, which are mainly divided into two categories: one is based on the geometric characteristics of objects, and the other is based on shadow fe...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/40G06K9/46
Inventor 张为公蔡英凤王海林国余王东
Owner SOUTHEAST UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap