Object Tracking Apparatus Merging Detection and Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional object tracking apparatuses perform object detection and matching as separate operations, leading to a high processing cost due to the need for pre-processing before matching.
Innovation Solution
An object tracking apparatus that generates feature vectors from position information in multiple images and uses these vectors to calculate correspondence information, eliminating the need for pre-processing in the matching operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If object detection and matching are performed as separate operations with pre-processing, then matching accuracy is improved, but processing cost increases
Solution Approach 1:
The patent merges object detection and matching operations into a unified process. The detection result generation unit directly generates detection results that inherently contain matching information by using calculation processing on feature vectors from multiple images, eliminating the need for separate pre-processing and matching steps while maintaining accuracy.
Solution Approach 2:
The detection result generation unit performs multiple functions simultaneously: it extracts feature vectors from images, performs calculation processing to establish correspondences, and generates final detection results all in one operation. This multi-functional approach replaces the traditional multi-step pipeline, reducing processing overhead while achieving both detection and matching objectives.
2Reliability
If pre-processing is performed before object matching, then matching reliability is improved, but processing time increases
Solution Approach 1:
The system performs preliminary feature extraction during the detection phase itself, so that when matching is needed, the feature vectors are already prepared. The detection result generation unit extracts feature vectors from both the current and reference images as part of its core operation, eliminating the need for separate pre-processing steps before matching while ensuring reliable results.
3Measurement precision
If separate detection and matching operations are used, then detection precision is improved, but device complexity increases
Solution Approach 1:
The patent combines detection and matching functionalities into a single detection result generation unit. This unified structure uses feature vector calculation processing to simultaneously achieve detection precision and matching accuracy, reducing the number of separate components and simplifying the overall system architecture while maintaining high precision performance.
Data Source
AI summary
An object tracking apparatus (1) includes: a first generation unit (221-224) for generating, based on a first position information (PIt-τ) related to a position of an object (Ot-τ) in a first image (IMt-τ) captured at a first time (t-τ) and a second position information (PIt) related to a position of an object (Ot) in a second image (IMt) captured at a second time (t), first and second feature vectors (CVt-τ, CVt); and a second generation unit (225) for generating, as a correspondence information (AM) indicating a correspondence relationship between the object in the first image and the object in the second image, an information that is obtained by a calculation processing using the first and the second feature vectors.