Unattended Surveillance Device Profile Image Extraction
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Solution Overview
Problem
Current remote and unattended surveillance systems face challenges in reliably classifying objects, such as vehicles, humans, and animals, while also requiring significant data transmission, which can be inefficient and prone to errors in resolution and direction detection.
Innovation Solution
An unattended surveillance device equipped with a video camera and an image processor that captures video data, extracts moving objects, generates a sequence of profile images, compresses them using the Joint Bi-level Image experts Group (JBIG) format, and transmits a surveillance information packet containing object classification details, including type, quantity, direction, and action, via a wireless transceiver.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If still image camera or video camera is used for object classification, then object classification capability is improved, but data transmission volume increases significantly
Solution Approach 1:
The patent extracts only the essential features needed for classification (profile images, movement vectors, physical dimensions) from the complete video data, transmitting only these extracted features rather than the entire video stream or high-resolution images. This reduces data transmission volume while maintaining classification accuracy.
Solution Approach 2:
The patent segments the classification process into multiple stages: initial detection using low-data profile images, followed by more detailed analysis only when necessary. This hierarchical segmentation allows accurate classification while minimizing overall data transmission by performing detailed analysis only on selected targets.
2Quantity of substance
If profile sensor is used to reduce data transmission, then data transmission volume is reduced, but measurement precision deteriorates due to poor resolution and inability to detect direction or action
Solution Approach 1:
The patent merges multiple types of data from different sensors (profile sensor data, video camera data, infrared sensor data) to compensate for the limitations of individual sensors. By combining these data sources, the system achieves both reduced data transmission and improved measurement precision through sensor fusion.
Solution Approach 2:
The patent dynamically adjusts the level of detail and types of data collected based on the situation. For example, it uses low-resolution profile data for initial detection and classification, then dynamically switches to higher-resolution video data only when detailed observation is required, optimizing both data efficiency and accuracy.
3Reliability
If multiple sensors are used for comprehensive surveillance, then detection capability is improved, but device complexity increases
Solution Approach 1:
The patent designs sensors and processing units that can perform multiple functions. For example, the video camera serves both as a detailed observation tool and as a source for extracting profile images for classification. This multi-functionality reduces the need for separate dedicated sensors, thereby reducing overall system complexity while maintaining comprehensive detection capability.
Data Source
AI summary
The unattended surveillance device may include a housing to be positioned for unattended surveillance, a video camera associated with or carried by the housing to capture video, and an image processor carried by the housing and cooperating with the video camera. The image processor extracts moving objects in the foreground of the captured video, generates a profile image or sequence of profile images of the extracted moving objects, compresses the sequence of profile images, and generates a surveillance information packet based upon the compressed sequence of profile images. Also, a wireless transmitter or transceiver may be associated with the image processor to transmit the surveillance information packet to a surveillance monitoring station.


