Heat Map Generation Normalizing Retention Times
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Solution Overview
Problem
Existing heat map generation methods from video data can be distorted due to objects with excessively long retention times, leading to inaccurate visualization of customer interests in retail environments.
Innovation Solution
A method and device that normalize retention times by dividing them by the total retention time of each object across divided areas, and select only retention times below a threshold to generate a heat map, preventing distortion and improving reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If retention times are used directly to generate heat map, then the heat map can be generated quickly, but the heat map becomes distorted due to objects with excessively long retention times
Solution Approach 1:
The patent applies parameter changes by normalizing retention times through division by the sum of all retention times for each object. This transforms the raw retention time parameter into a normalized value that eliminates the distortion caused by excessively long retention times, while preserving the relative distribution pattern needed for heat map generation.
Solution Approach 2:
The patent implements partial action by selectively filtering out normalized retention times that exceed a predetermined threshold. This allows the heat map to be generated using only the relevant retention time data that contributes to accurate visualization, excluding the excessive values that would cause distortion.
2Quantity of substance
If all retention times are included in heat map generation, then complete data is utilized, but objects with prolonged presence distort the visualization of customer interests
Solution Approach 1:
The patent applies the extraction principle by removing normalized retention times that exceed the predetermined threshold from the heat map generation process. This selectively extracts and excludes the problematic data points (objects with prolonged presence) while retaining the valid data, thereby preventing distortion without losing the essential customer interest information.
Solution Approach 2:
By transforming retention times into normalized values and applying a threshold criterion, the patent changes the parameter state of the data. This allows the system to distinguish between valid retention time data and distorted data from objects with prolonged presence, enabling selective inclusion in the heat map.
Data Source
AI summary
A method for generating a heat map from a video may include: detecting objects in the video; determining retention times of each of the objects in divided areas of the video; normalizing the retention times of each of the objects according to the sum of the retention times of the corresponding object in the divided areas; and generating a heat map based on the normalized retention times.


