Image Pickup Apparatus Motion Vector Subject Tracking

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing image pickup apparatuses struggle to automatically capture lively images of subjects moving rapidly, such as in sports scenes, due to difficulties in detecting and tracking subjects with unclear faces.

Innovation Solution

An image pickup apparatus equipped with an image pickup portion, a drive portion for rotating the image pickup portion, and controllers functioning as a subject detecting unit, a motion vector detecting unit, and a moving subject detecting unit. This apparatus detects motion vectors to identify and track moving subjects, adjusting composition and controlling tracking based on motion information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If face detection method is used to identify subjects, then subject detection accuracy is improved for stationary subjects, but subject detection capability deteriorates for rapidly moving subjects with unclear faces

Engineering Contradiction:
Improvesubject detection accuracyVSAvoidsubject detection capability for moving subjects
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The system changes detection parameters by switching between face detection mode (for stationary subjects) and motion vector-based detection mode (for moving subjects). The controller selects different detection algorithms based on scene type and subject motion characteristics, allowing accurate detection across varying conditions without being limited to a single detection method.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The subject detection function is segmented into multiple specialized detection methods: face detection for stationary subjects and motion vector-based detection for moving subjects. Each segmentation handles specific detection scenarios optimally, and the controller dynamically selects the appropriate segment based on real-time scene analysis.

Inventive Principle:
Principle #1Segmentation

2Measurement precision

If only face detection information is used for subject tracking, then tracking precision is improved for clear faces, but tracking capability deteriorates for subjects with unclear or no faces

Engineering Contradiction:
Improvetracking precisionVSAvoidtracking capability for subjects without clear faces
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The system changes tracking parameters by switching between face-based tracking and motion vector-based tracking. When subjects lack clear facial features (such as in sports scenes), the controller transitions to motion vector tracking which follows subjects based on their movement patterns rather than facial features, maintaining tracking capability across diverse subject types.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

Motion vectors serve as an intermediary mechanism for tracking subjects when direct face detection is unavailable. Instead of directly detecting facial features, the system uses motion vectors as an intermediate representation to identify and track subject movement, enabling tracking of subjects with unclear or absent faces.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Reliability

If conventional subject detection methods are used, then detection reliability is improved for stationary subjects, but detection capability deteriorates for rapidly moving subjects

Engineering Contradiction:
Improvedetection reliabilityVSAvoiddetection capability for moving subjects
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The detection system is made dynamic by continuously adapting the detection method based on subject motion. Rather than using a static detection approach, the controller dynamically switches between face detection and motion vector detection based on real-time scene analysis, maintaining high detection reliability for stationary subjects while enabling effective detection of rapidly moving subjects.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The detection system achieves universality by incorporating multiple detection functions: face detection for stationary subjects and motion vector-based detection for moving subjects. This multi-functional approach allows the system to reliably detect various types of subjects regardless of their motion state, eliminating the limitation of conventional single-method detection systems.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS12335624B2Image pickup apparatus that performs automatic shooting, control method therefor, and storage medium
Publication Date: 2025.06.17 CANON KK
  • US12335624B2 patent drawing
  • US12335624B2 patent drawing
  • US12335624B2 patent drawing

AI summary

An image pickup apparatus capable of performing automatic shooting suitable for a subject moving a lot. The apparatus includes an image pickup portion configured to output an image of a subject formed by an image pickup optical system, and a drive portion configured to rotate the image pickup portion about an axis. In the apparatus, one or more controllers detects a specific subject in the image, detects motion vectors in the image, and detects a moving subject in the image based on the vectors, wherein the specific or moving subject is determined as a subject to be shot, and based on motion information on the that subject, adjusting composition and tracking of that subject is performed.