Subject Detection Dictionary Switching for Stable Image Tracking

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Solution Overview

Problem

Existing image processing systems struggle to balance tracking performance for a detected subject with detection performance for other subjects due to uncontrolled frequency use of dictionaries, especially in devices with limited arithmetic logic circuits and processing capabilities.

Innovation Solution

An image processing apparatus that adjusts the frequency of use for different dictionaries based on the type of detected subjects and tracking modes, using a selection unit to select dictionaries corresponding to the tracking mode, thereby optimizing the balance between tracking and detection performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the frequency of use of a dictionary corresponding to the detected subject is increased to improve tracking performance, then tracking stability is improved, but the detection performance for other subjects deteriorates

Engineering Contradiction:
Improvetracking stabilityVSAvoiddetection performance for other subjects
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent applies dynamics by making the dictionary selection frequency adaptive rather than static. The selection unit dynamically adjusts the frequency of using different dictionaries based on real-time detection results and tracking mode, allowing the system to flexibly balance between tracking stability and detection versatility according to current operational conditions

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes the parameter of dictionary selection frequency based on tracking mode and detection results. By adjusting this parameter dynamically - using the first dictionary more frequently in tracking mode while periodically switching to the second dictionary - the system resolves the contradiction between maintaining tracking stability and preserving detection capability for other subjects

Inventive Principle:
Principle #35Parameter changes

2Adaptability or versatility

If multiple dictionaries are used to detect various types of subjects, then detection versatility is improved, but device complexity increases due to limited arithmetic logic circuits

Engineering Contradiction:
Improvedetection versatilityVSAvoidarithmetic logic circuit complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments the detection task by dividing it into different dictionary usage phases. Instead of using all dictionaries simultaneously which would overwhelm the arithmetic logic circuits, the system segments dictionary usage in time - switching between first and second dictionaries based on tracking mode - thereby reducing instantaneous computational complexity while maintaining overall detection versatility

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements periodic action by alternating between using the first dictionary (for tracking) and the second dictionary (for detection of other subjects) in a controlled manner. This periodic switching allows the limited arithmetic logic circuits to handle multiple dictionary types over time without being overwhelmed by simultaneous processing requirements

Inventive Principle:
Principle #19Periodic action

Data Source

PatentUS12499648B2Image processing apparatus, image capturing apparatus, control method, and storage medium for detecting subject in captured image
Publication Date: 2025.12.16 CANON KK
  • US12499648B2 patent drawing
  • US12499648B2 patent drawing
  • US12499648B2 patent drawing

AI summary

There is provided an image processing apparatus. A detection unit executes subject detection processing with respect to each of a plurality of images obtained through image capturing performed by an image capturing circuit, using one or more dictionaries that are a part of a plurality of dictionaries. The plurality of dictionaries is respectively intended to detect subjects of different types. A setting unit sets a tracking mode. A selection unit selects the one or more dictionaries used by the detection unit, wherein the selection unit selects a second dictionary at a frequency corresponding to the tracking mode. The second dictionary is different from a first dictionary that corresponds to a type of a first subject detected in a previous image.