Multi-view behavior identification method based on largest-interval meaning clustering

A maximum interval, multi-view technology, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as low feasibility and decreased accuracy

Inactive Publication Date: 2014-02-26
康江科技(北京)有限责任公司
View PDF1 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the shooting angle of the action changes, the accuracy of these methods will drop
This is because even actions of the same class look different when taken from different viewpoints, so a

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
  • Multi-view behavior identification method based on largest-interval meaning clustering
  • Multi-view behavior identification method based on largest-interval meaning clustering
  • Multi-view behavior identification method based on largest-interval meaning clustering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] The flowchart and block diagrams in the figures illustrate the architecture, functionality and operation of possible implementations of apparatuses, methods and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, program segment, or portion of code that contains one or more logic devices for implementing the specified Executable instructions for a function. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. It should also be noted that each block of the block diagrams and / or flowchart illustrations, and combinations of blocks in the block diagrams and / or flowchart...

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

Each embodiment mode of the invention provides a multi-view behavior identification method based on largest-interval meaning clustering. The method comprises steps that: global profile flow characteristics of each frame of each motion video sample are firstly extracted, a words-bag model is utilized to acquire characteristic expression vectors of the corresponding motion video sample frames; dimensionality reduction for the characteristic expression vectors is carried out by utilizing multi-time random mapping; the characteristic expression vectors which are acquired through dimensionality reduction at each random mapping are clustered through a largest-interval meaning clustering method; source object samples of all the samples are determined by utilizing a trained model, and separation characteristics of the source samples are directly taken as separation characteristics of an object domain; the separation characteristics of an object domain are taken as input, and a classification model is trained by utilizing a support vector machine; separation characteristics of a test sample of the object domain are acquired by utilizing the classification model of the support vector machine, and classification is carried out by utilizing a nearest neighbor classifier.

Description

technical field [0001] The invention belongs to the technical field of intelligent video monitoring, and in particular relates to a multi-view behavior recognition method based on semantic maximum interval clustering. Background technique [0002] Behavior recognition plays an important role in video surveillance. It can recognize the behavior of human body in the video, and contribute to dangerous behavior alarm and specific behavior recognition. The simplest and most effective method in behavior recognition is the method based on the bag of words model. This method first extracts the features of the video, then clusters all the features, and then performs a histogram according to the frequency of each video feature in the cluster center. graphic. But a shortcoming of this method is that it does not take spatio-temporal characteristics into account. Zhang et al. used a semantic-based linear coding method to not only consider the spatio-temporal relationship between feat...

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): G06K9/64
Inventor 不公告发明人
Owner 康江科技(北京)有限责任公司
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