Video signal preprocessing method for artificial intelligent multimode behavior recognition and description
A technology of artificial intelligence and video signals, applied in character and pattern recognition, image data processing, instruments, etc., can solve problems such as difficult to distinguish vehicle types, and achieve the effect of reducing useless information
Inactive Publication Date: 2013-11-20
沈玉琴
View PDF4 Cites 5 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0002] The current intelligent video detection technology can detect moving objects very well, but there are still some defects in the classification of objects, and it is difficult to distinguish vehicle types, pedestrians, etc.
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0047] The following is attached figure 1 , attached figure 2 , attached image 3 with one An embodiment describes the present invention in further detail:
[0048] A video signal preprocessing method for artificial intelligence multi-mode behavior recognition and description, characterized in that: the foreground extraction method of HOG-LBP (histogram of gradient direction and local binary mode) is adopted to realize the separation of people and vehicles, and the preprocessing The methods and algorithms are as follows:
[0049]One, by the realization of HOG, its implementation method of described HOG is to divide the image into small connected regions called grid cells; then collect the gradient direction or edge direction histogram of each pixel in the grid cells; finally these histograms The graphs can be combined to form a feature descriptor, and these local histograms are contrast-normalized in a larger block of the image. This method first calculates the histogram...
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
Login to View More Abstract
The invention relates to a video signal preprocessing method for artificial intelligent multimode behavior recognition and description. By classifying moving objects which are detected at an early stage, the types of the objects can be distinguished and the artificial intelligent multimode behavior recognition and description is realized. The video signal preprocessing method artificial intelligent multimode behavior recognition and description is characterized in that an HOG-LBP (Histogram of Oriented Gradients and Local Binary Patterns) foreground extraction method is adopted and a preprocessing method and a preprocessing algorithm are realized. The video signal preprocessing method for artificial intelligent multimode behavior recognition and description has the beneficial effects that the types of the objects can be well distinguished, a better significance to the tracking of the objects is obtained, usable information can be reserved, unusable information can be removed and the unusable information is reduced.
Description
technical field [0001] The invention relates to a video signal processing method, in particular to a video signal preprocessing method for artificial intelligence multi-mode behavior recognition and description. Background technique [0002] The current intelligent video detection technology can detect moving targets very well, but there are still some defects in the classification of targets, and it is difficult to distinguish vehicle types, pedestrians and other issues. Contents of the invention [0003] The purpose of the present invention is to overcome the deficiencies of the prior art, by classifying the moving targets detected in the early stage, the target types can be distinguished, and the artificial intelligence multi-mode behavior recognition and description can be realized. [0004] The technical solution adopted to solve the above technical problems is a video signal preprocessing method for artificial intelligence multi-mode behavior recognition and descript...
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
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/54G06T7/20
Inventor 沈玉琴
Owner 沈玉琴