Dynamic and static characteristic-based video classification method

A video classification, dynamic and static technology, applied in the cross field, can solve the problems of unsatisfactory, high hardware requirements, poor real-time performance, etc., to achieve good accuracy and effectiveness, improve accuracy, and increase accuracy.
CN108399435AActive Publication Date: 2018-08-14NANJING UNIV OF POSTS & TELECOMM
5 Cites 16 Cited by

Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
NANJING UNIV OF POSTS & TELECOMM
Publication Date
2018-08-14

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses a dynamic and static characteristic-based video classification method. The problem that the video classification accuracy is not high is solved. The method comprises the stepsthat dynamic characteristics and static characteristics in video are processed, information is fused by means of Cholesky conversion, and then video classification is completed by using a GRU neural network; the dynamic characteristics of each video frame are captured through a DT algorithm, all video frames are isolated through a DBSCAN clustering algorithm, a motion frame is built in each frameof each video clip, the motion frames between the adjacent frames of each video clip are connected, and capturing and tracking of the dynamic characteristics are completed; by means of HoG and BoW methods, a dynamic information histogram generated by the dynamic characteristics and a static information histogram generated by a CNN neural network are fused by means of Cholesky conversion; finally,the GRU neural network is utilized for achieving video classification. Accordingly, by processing the dynamic and static information separately, the accuracy of video classification can be improved, and good implementation and robustness are achieved.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to a video classification method based on dynamic and static features, and belongs to the cross technical fields of behavior recognition, machine learning and the like. Background technique

[0002] In recent years, action recognition and classification in videos has become an important research topic in the field of computer vision, which has important theoretical significance and practical application value.

[0003] With the development of my country's economy and society and the advancement of science and technology, the identification, analysis and understanding of tasks in videos has become an important content in the fields of social science and natural science. Has a wide range of applications. Compared with behavior recognition in static pictures, background changes in videos, tracking of dynamic objects, and high-dimensional data processing are more complex and therefore more challenging.

[0004] The recognition of hum...

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