Object Tracking via Color Resemblance Thresholds
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Solution Overview
Problem
Current object and human tracking algorithms in video surveillance systems face challenges in accurately identifying and distinguishing individuals based on color characteristics over time and across different images, leading to potential errors in monitoring and tracking.
Innovation Solution
A method that associates color characteristics with objects or people in images and uses a color resemblance threshold to determine if they are the same or different, activating an information conveyance system to convey time and location-related data for monitoring and tracking purposes, including generating tracking records and alerts based on defined conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If color characteristics are used to identify and track objects or people across images, then tracking accuracy is improved, but errors occur when color characteristics are similar between different objects or people
Solution Approach 1:
The patent compares color characteristics as a parameter to identify and track objects across images. By establishing a threshold for color similarity, the system determines whether objects in different images are the same or different, thereby improving tracking accuracy while managing the risk of misidentification when colors are similar.
2Reliability
If a color resemblance threshold is applied to determine object identity, then tracking reliability is improved, but complexity of the processing system increases
Solution Approach 1:
The patent introduces a color resemblance threshold as a parameter to simplify the determination of object identity across images. This threshold-based approach improves reliability by providing a clear criterion for deciding whether objects are the same, while the processing complexity is managed through straightforward threshold comparison operations.
3Reliability
If color characteristics are compared across multiple images to track objects, then monitoring effectiveness is improved, but processing time increases
Solution Approach 1:
The patent extracts and compares color characteristics as key parameters across multiple images to track objects efficiently. By focusing on color as a distinguishing parameter and using threshold-based comparison, the system improves monitoring effectiveness while minimizing processing time through efficient parameter matching.
Data Source
AI summary
Monitoring technique includes identifying objects in images and associating color characteristics with each identified object. When the color characteristics of an object in one image is above a color resemblance threshold to the color characteristics of an object in another image, the object in both images is considered the same. Otherwise, the respective object in both images are considered to be different. Data about time that each image including an identified object was obtained and location of each object when each image including an identified object was obtained is derived. An information conveyance system is activated to convey the time and location-related data about identified objects relative to defined areas of the site or movement of the identified objects or people into, between or out of the defined areas of the site or a communication resulting from such data satisfying one or more conditions.