Intelligent Zoom Region of Interest Face Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing multiple imager video systems face challenges in dynamically determining the region of interest for zooming functions, particularly in identifying and focusing on faces within a wide field-of-view image, leading to inefficient zooming into areas of interest.
Innovation Solution
An intelligent zoom method is implemented, where the left and right extremities of the region of interest are dynamically set based on the detection of faces in the global image, with the left extremity set to the coordinates of the leftmost face and the right extremity set to the rightmost face, ensuring that the zoom function focuses on detected faces, such as those in a meeting scenario.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If traditional zoom function is used in multiple imager video systems, then the system can zoom into areas of interest, but it cannot dynamically determine the region of interest containing faces, leading to inefficient zooming
Solution Approach 1:
The system automatically detects faces and determines the region of interest without user intervention. The zoom function serves itself by using face detection results to automatically set the left and right extremities, eliminating the need for manual region selection while improving zoom effectiveness
Solution Approach 2:
The system uses face detection feedback to dynamically adjust the zoom region. The detected face positions provide feedback that determines the left and right extremities, creating a closed-loop system where the zoom function continuously adapts to the current scene content
2Reliability
If the zoom region is fixed or manually set, then the system structure is simple, but it cannot ensure that faces are always within the region of interest
Solution Approach 1:
The system performs face detection and determines the region of interest in advance before executing the zoom function. By pre-identifying the left and right extremities based on face positions, the system ensures faces are guaranteed to be within the zoom region, improving reliability without requiring complex real-time adjustments during zooming
Data Source
AI summary
A video system is provided. The video system, comprising: a plurality of imaging sensors each including an image signal processor; an image stitching engine analyzes un-stitched images generated by each of the plurality of imaging sensors. The un-stitched images are analyzed for a presence of face and then divided into a plurality of zones. A mapping function is implemented for each of the plurality of zones based on a number of consecutive frames in which presence of a face is analyses and a minimum number of frames in which a face was detected. A zoom engine determines a region of interest which includes a left edge and a right edge, wherein said left edge is set based on coordinates associated with a face detected in a left most zone of the unstitched images, and said right edge is set based on coordinates associated with a right most face detected in a right most zone of the unstitched images.