Target detection method and system based on multi-scale feature fusion in image

A multi-scale feature and target detection technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of changes in the structural characteristics of samples within the class, increasing the difficulty of detection, large diversity of color, texture and shape, and differences, etc. , to achieve the effect of enhancing feature learning and representation capabilities, improving detection accuracy, and improving fusion effects

Inactive Publication Date: 2018-08-28
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

Due to the following difficulties and challenges in the existing image target detection methods, the detection results still need to be improved: (1) There are large diversity and differences in the appearance features such as color, texture and shape among similar targets
(2) There is a diversity of poses in similar targets, resulting in large changes in the structural characteristics of samples within the class
(4) The occlusion of the target will affect the detection results
Afte

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  • Target detection method and system based on multi-scale feature fusion in image
  • Target detection method and system based on multi-scale feature fusion in image
  • Target detection method and system based on multi-scale feature fusion in image

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Embodiment Construction

[0050] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0051] Existing target detection methods can identify some larger targets well, but the larger targets only account for a small part in real life, and the detection results are not very good for distant targets. it is good. Target detection has the following characteristics, taking pedestrian targets as an example:

[0052] Features 1. Diversity of scales. On the one hand, there are old people, middle-aged people, and children among pedestrians, and their physical heights will have a large distr...

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Abstract

The invention discloses a target detection method and system based on multi-scale feature fusion in an image. The method comprises the steps that firstly, zooming of different scales is carried out byutilizing the to-be-detected picture, and an image pyramid is constructed; secondly, a set of multi-scale detection templates covering most of the sample dimensions is obtained by utilizing a statistical clustering method; thirdly, based on the multi-scale detection template, scale self-adaptive target context construction is performed; fourthly, multi-scale depth features are fused; fifthly, thenon-maximum value restrain based on soft judgment is carried out. The invention is advantageous in that the image multi-resolution sparse pyramid, the multi-scale detection template and the templatescale self-adaptive context, multi-scale depth feature fusion and the like are constructed, full mining and fusion utilization of the depth features are achieved, and the target detection performancecan be improved.

Description

technical field [0001] The invention relates to a method in the field of target detection in images, in particular to a target detection method and system for multi-feature fusion in images. Background technique [0002] Object detection and recognition in images has a wide range of practical needs in applications such as intelligent video surveillance, and it is also a popular research direction in the field of computer vision. Due to the following difficulties and challenges in the existing image target detection methods, the detection results still need to be improved: (1) There are great diversity and differences in the appearance features such as color, texture and shape among similar targets. (2) There is a diversity of poses in the same type of target, resulting in a large change in the structural characteristics of the samples within the class. For example, in reality, the target has postures such as upright, lying down, and tilting, and similar targets with differe...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06V2201/07G06F18/29G06F18/253
Inventor 张重阳程浩刘泽祥
Owner SHANGHAI JIAO TONG UNIV
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