Preset Tour Camera Image Classification by Surveillance Group Indexing
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Solution Overview
Problem
Preset tour cameras store image frames indiscriminately, making it time-consuming and difficult to analyze specific surveillance areas during incidents, as all frames need to be searched sequentially rather than being classified and indexed by surveillance groups.
Innovation Solution
An image classification method and apparatus that analyzes feature information from image frames to generate non-duplicative classification groups, allowing for efficient storage and quick retrieval of frames by surveillance area, using a pan-tilt-zoom camera's stationary state detection, feature extraction, and indexing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If image frames are stored indiscriminately without classification, then storage simplicity is maintained, but image analysis time increases significantly when accidents occur
Solution Approach 1:
The patent segments the continuous stream of image frames into distinct classification groups based on surveillance places. Each frame is classified into groups such as 'first surveillance place,' 'second surveillance place,' etc., based on feature information extracted from the frames. This segmentation allows rapid retrieval of frames from specific surveillance areas without searching through all frames, thus resolving the contradiction between storage simplicity and analysis time.
2Productivity
If multiple image obtaining devices are used to monitor different surveillance places, then image analysis efficiency improves, but installation and management cost increases
Solution Approach 1:
The patent makes a single preset tour camera perform multiple functions by enabling it to sequentially capture images from multiple surveillance places and classify these frames into different groups. The camera acts as a universal device that replaces multiple dedicated cameras, achieving the same surveillance coverage and analysis efficiency while reducing installation and management complexity.
3Ease of operation
If all image frames are stored as one continuous motion picture, then storage management is simplified, but retrieval of specific surveillance area frames becomes inefficient
Solution Approach 1:
The patent applies preliminary action by classifying and tagging image frames with surveillance place information at the time of storage, rather than performing classification during retrieval. The system extracts feature information from each frame, determines the surveillance place, and stores the frame with appropriate classification tags. This preliminary classification enables rapid retrieval of frames from specific surveillance areas without requiring full-frame search during incident response.
Data Source
AI summary
Disclosed herein is an image classification method and apparatus for a preset tour camera. More particularly, according to the image classification method and apparatus for a preset tour camera, a classification group is generated not to be duplicated by analyzing feature information included in image frames continuously taken by a preset tour camera that has panning, tilting, and zooming functions, and the image frames are classified by the classification group based on the feature information and stored with an index, whereby when an accident occurs and image analysis is required, the image frames are searched for based on the classification group, thus the image analysis may be conveniently and quickly performed.