Unlock instant, AI-driven research and patent intelligence for your innovation.

Behavior recognition method, behavior recognition device, video detection method and storage medium

A recognition method and behavior technology, applied in the field of artificial intelligence, can solve the problems of lack of scalability and high recognition cost, and achieve the effect of improving learning ability and scalability

Pending Publication Date: 2022-07-29
ALIBABA DAMO (HANGZHOU) TECH CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a behavior recognition method, a behavior recognition device, a video detection method, and a storage medium, to at least solve the problem that the behavior recognition method that relies on large samples in the related art tends to cause high recognition costs, while the behavior recognition method that relies on small samples The method lacks the technical problem of scalability

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
  • Behavior recognition method, behavior recognition device, video detection method and storage medium
  • Behavior recognition method, behavior recognition device, video detection method and storage medium
  • Behavior recognition method, behavior recognition device, video detection method and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] According to an embodiment of the present invention, an embodiment of a method for behavior recognition is also provided. It should be noted that the steps shown in the flowchart of the accompanying drawings may be executed in a computer system such as a set of computer-executable instructions, and although A logical order is shown in the flowcharts, but in some cases steps shown or described may be performed in an order different from that herein.

[0034] The method embodiment provided in Embodiment 1 of the present invention may be executed in a mobile terminal, a computer terminal, or a similar computing device. figure 1 A block diagram of the hardware structure of a computer terminal (or mobile device) for implementing the behavior recognition method is shown. like figure 1 As shown, the computer terminal 10 (or mobile device 10) may include one or more (shown as 102a, 102b, . or a processing device such as a programmable logic device FPGA), a memory 104 for stor...

Embodiment 2

[0163] According to an embodiment of the present invention, there is also provided a device for implementing the above-mentioned behavior recognition method, Figure 7 is a schematic structural diagram of a behavior recognition device according to an embodiment of the present invention, such as Figure 7 As shown, the device includes: an acquisition module 71 and an identification module 72, wherein,

[0164] The obtaining module 71 is used for obtaining the task to be identified, wherein the task to be identified includes: a support set and a query set, the support set is used to provide multiple candidate categories for the behavior recognition of the video to be queried, and the query set is used to determine the video to be queried; The identification module 72 is configured to perform time series analysis on the support set and the query set, and determine the target category to which the query set belongs from multiple candidate categories.

[0165] Optionally, the abov...

Embodiment 3

[0177] According to an embodiment of the present invention, an embodiment of an electronic device is also provided, and the electronic device may be any computing device in a computing device group. The electronic device includes: a processor and a memory, wherein:

[0178]a memory, connected to the above-mentioned processor, for providing the above-mentioned processor with instructions for processing the following processing steps: acquiring a task to be identified, wherein the to-be-identified task includes: a support set and a query set, and the support set is used for the behavior of the video to be queried The identification provides multiple candidate categories, and the query set is used to determine the video to be queried; the time series analysis is performed on the support set and the query set, and the target category to which the query set belongs is determined from the multiple candidate categories.

[0179] In this embodiment of the present invention, by acquiri...

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 behavior recognition method, a behavior recognition device, a video detection method and a storage medium. The method comprises the steps that a to-be-recognized task is obtained, the to-be-recognized task comprises a support set and a query set, the support set is used for providing multiple candidate categories for behavior recognition of a to-be-queried video, and the query set is used for determining the to-be-queried video; and performing time sequence analysis on the support set and the query set, and determining a target category to which the query set belongs from the plurality of candidate categories. According to the method and the device, the technical problems that the recognition cost is relatively high due to a behavior recognition mode depending on a large sample and the expandability is lacked due to a behavior recognition mode depending on a small sample in the prior art are solved.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, and in particular, to a behavior recognition method, a behavior recognition device, a video detection method and a storage medium. Background technique [0002] In the field of artificial intelligence, behavior recognition models trained by a large number of labeled samples are often used for behavior recognition. When a new category of behavior to be recognized appears, it is necessary to re-collect a large number of labeled samples based on the new category and retrain the behavior recognition model, which is costly. In this regard, technicians in related fields have been trying various small-sample behavior recognition methods, in order to identify newly-added behavior categories using a small number of labeled samples. [0003] Compared with the behavior recognition method based on a large number of labeled samples, the small sample behavior recognition method provided by the r...

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): G06F16/783G06F16/78G06V20/40G06V10/764G06V10/774G06V10/82G06N3/04G06N3/08
CPCG06F16/7837G06F16/7867G06V20/46G06V10/764G06V10/774G06V10/82G06N3/04G06N3/08
Inventor 王翔张士伟唐铭谦
Owner ALIBABA DAMO (HANGZHOU) TECH CO LTD