Canon kabushiki kaisha (20240185433). INFORMATION PROCESSING APPARATUS AND CONTROL METHOD THEREOF simplified abstract
INFORMATION PROCESSING APPARATUS AND CONTROL METHOD THEREOF
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INFORMATION PROCESSING APPARATUS AND CONTROL METHOD THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240185433 titled 'INFORMATION PROCESSING APPARATUS AND CONTROL METHOD THEREOF
Simplified Explanation
Simplified Explanation
An information processing apparatus analyzes a video sequence to track a target by extracting features from different areas of a template image and a search area image, calculating correlations, integrating the results, and detecting the target.
Key Features and Innovation
- Sets different areas for template image and search area image
- Extracts features using a neural network
- Calculates correlations for different areas
- Integrates correlation results for target detection
Potential Applications
This technology can be used in:
- Video surveillance systems
- Object tracking in augmented reality applications
- Robotics for object recognition and tracking
Problems Solved
- Efficient tracking of targets in video sequences
- Accurate detection of objects in changing environments
- Improved performance of tracking algorithms
Benefits
- Enhanced accuracy in target tracking
- Faster processing of video data
- Adaptability to different tracking scenarios
Commercial Applications
Title: Advanced Object Tracking Technology for Surveillance Systems This technology can be utilized in:
- Security and surveillance industry for tracking individuals or objects
- Entertainment industry for interactive experiences
- Industrial automation for monitoring and tracking processes
Prior Art
There is prior art related to object tracking in video sequences using feature extraction and correlation calculations, but the specific approach of integrating features from different areas for target detection may be novel.
Frequently Updated Research
There is ongoing research in the field of computer vision and object tracking algorithms that may impact the development and optimization of this technology.
Questions about Object Tracking Technology
How does this technology improve object tracking accuracy?
By extracting features from different areas and integrating correlation results, this technology enhances the accuracy of target detection in video sequences.
What are the potential challenges in implementing this technology in real-time applications?
Real-time implementation of this technology may require efficient processing algorithms and hardware capabilities to handle the computational requirements of feature extraction and correlation calculations.
Original Abstract Submitted
an information processing apparatus sets a first area and a second area corresponding to image areas of a tracking target, which are different from each other, for a template image included in a video sequence and including an image of the tracking target. the apparatus extracts a first area feature and a second area feature from the first area and the second area using a feature extraction nn, extracts a search area feature from a search area image using the feature extraction nn, and performs correlation calculation and deriving a first feature correlation map and a second feature correlation map. the apparatus integrates the first feature correlation map and the second feature correlation map and deriving an integrated feature, and detects the tracking target from the search area image based on the integrated feature.