Dynamic Action Detection Using Partially Updated Video Frames
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Solution Overview
Problem
Conventional dynamic action detection methods require a set number of image frames for detection, leading to weak instantaneity and inefficiency, as they wait for all frames to be updated before processing, which delays dynamic action recognition and control.
Innovation Solution
A method that adds image frames into a queue to create a partially updated frame, allowing for immediate detection and updating of action results without waiting for all frames to be updated, enabling timely and accurate dynamic action detection and control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional dynamic action detection methods wait for all image frames to be updated before processing, then detection accuracy can be maintained, but detection instantaneity deteriorates and processing efficiency decreases
Solution Approach 1:
The patent applies preliminary action by detecting dynamic actions in partially updated image frames before the frame update is complete. The system performs action detection in advance using the currently available frames, eliminating the need to wait for all frames to be updated, thus improving detection instantaneity and processing efficiency while maintaining acceptable accuracy through continuous updates.
2Speed
If a set number of image frames are required for detection, then detection reliability can be ensured, but detection speed deteriorates
Solution Approach 1:
The patent applies dynamics by transitioning from a static requirement of a fixed number of frames to a dynamic approach where the number of frames needed is flexible and time-dependent. The system can detect actions using partially updated frames and continues updating as needed, allowing detection speed to increase while maintaining reliability through continuous refinement of the detection result.
3Loss of time
If all image frames must be updated before detection, then measurement precision can be maintained, but processing time increases
Solution Approach 1:
The patent applies continuity of useful action by implementing continuous detection and updating processes. Instead of completing all frame updates before detection, the system continuously performs detection on partially updated frames and refines results as more frames become available. This continuous approach reduces processing time while maintaining precision through ongoing refinement of the action detection result.
Data Source
AI summary
The present disclosure relates to methods and apparatuses for dynamic action detection and dynamic action control. A dynamic action detection method includes: adding an image frame in a video stream into a first queue, to obtain the first queue with a partially updated image frame; detecting a dynamic action in the partially updated image frame; and in response to the dynamic action not matching with the action detection result, updating an action detection result according to the dynamic action, the action detection result including an action reference result or a previously detected action detection result. A dynamic action detection in the present disclosure is executed according to the partially updated image frame in the first queue, so that the dynamic action can be detected more timely; and the dynamic action can also be rapidly determined, so that the action detection result is more accurate and the detection efficiency is higher.