Apple inc. (20240338842). TECHNIQUES FOR TRACKING ONE OR MORE OBJECTS simplified abstract
Contents
TECHNIQUES FOR TRACKING ONE OR MORE OBJECTS
Organization Name
Inventor(s)
Onur E. Tackin of Saratoga CA (US)
Dhruv Samant of Mountain View CA (US)
Mahmut Demir of Dublin CA (US)
Samuel D. Post of Great Falls MO (US)
TECHNIQUES FOR TRACKING ONE OR MORE OBJECTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240338842 titled 'TECHNIQUES FOR TRACKING ONE OR MORE OBJECTS
Simplified Explanation: The patent application describes methods for tracking objects using data from different modalities and predicting their positions.
Key Features and Innovation:
- Tracking objects using data from multiple modalities.
- Predicting object positions based on received data.
- Utilizing image data representing the field of view of a camera for tracking.
Potential Applications: This technology can be applied in various fields such as surveillance, autonomous vehicles, robotics, and augmented reality.
Problems Solved: This technology addresses the challenges of accurately tracking and predicting the positions of objects using data from different sources.
Benefits:
- Improved object tracking accuracy.
- Enhanced predictive capabilities.
- Increased efficiency in monitoring and surveillance tasks.
Commercial Applications: Potential commercial applications include security systems, traffic management, industrial automation, and virtual reality experiences.
Prior Art: Readers can explore prior art related to object tracking, predictive modeling, and multi-modal data fusion in computer vision and machine learning research.
Frequently Updated Research: Stay updated on the latest advancements in object tracking, predictive modeling, and multi-modal data fusion in the fields of computer vision and artificial intelligence.
Questions about Object Tracking: 1. What are the key challenges in multi-modal object tracking? 2. How does the predictive modeling aspect of this technology improve tracking accuracy?
Original Abstract Submitted
some methods are described herein for tracking one or more objects. in some examples, the method is performed at a computer system. in some examples, the method includes receiving a first set of data corresponding to the object via a first modality and a second set of data corresponding to the object via a second modality; after receiving the first set of data corresponding to the object and the second set of data corresponding to the object, receiving a second set of image data representing the field of view of the camera, wherein the second set of image data does not include data representative of the object; and after receiving the second set of image data, predicting a position of the object using at least the first set of data corresponding to the object and the second set of data corresponding to the object.
