Palantir technologies inc. (20240338830). SYSTEMS AND METHODS FOR MULTIPLE-OBJECT TRACKING simplified abstract

SYSTEMS AND METHODS FOR MULTIPLE-OBJECT TRACKING

Organization Name

palantir technologies inc.

Inventor(s)

Aleksandr Patsekin of Foster City CA (US)

Ben Radford of Denver CO (US)

Daniel Marasco of Washington DC (US)

Dimitrios Lymperopoulos of Kirkland WA (US)

Keun Jae Kim of Kirkland WA (US)

Michel Goraczko of Seattle WA (US)

Prasanna Srikhanta of Seattle WA (US)

Rodney Lalonde of Arlington VA (US)

Tong Shen of Redmond WA (US)

Xin Li of Cupertino CA (US)

Yue Wu of Lynnwood WA (US)

Cameron Derwin of Seattle WA (US)

Di Wang of Sammamish WA (US)

SYSTEMS AND METHODS FOR MULTIPLE-OBJECT TRACKING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240338830 titled 'SYSTEMS AND METHODS FOR MULTIPLE-OBJECT TRACKING

The abstract describes systems and methods for user-assisted object detection, including receiving image frames, performing object tracking, and outputting indicators for identified objects of interest.

• Object tracking is performed using templates associated with objects of interest and their spatial relationship.
• Indicators are outputted for image portions corresponding to the identified objects of interest.

Potential Applications: - Surveillance systems - Autonomous vehicles - Augmented reality applications

Problems Solved: - Enhancing object detection accuracy - Improving user interaction with object detection systems

Benefits: - Increased efficiency in object tracking - Enhanced user experience in identifying objects of interest

Commercial Applications: "User-Assisted Object Detection Technology for Enhanced Surveillance Systems and Autonomous Vehicles"

Prior Art: Prior art related to this technology may include research on object tracking algorithms and user-assisted object detection systems.

Frequently Updated Research: Researchers are continually exploring new algorithms and techniques to improve object detection accuracy and user interaction in surveillance and autonomous systems.

Questions about User-Assisted Object Detection: 1. How does user-assisted object detection differ from fully automated object detection systems? 2. What are the potential limitations of user-assisted object detection technology in real-world applications?

Original Abstract Submitted

in some examples, systems and methods for user-assisted object detection are provided. for example, a method includes: receiving a first image frame in a sequence of image frames, performing object tracking using an object tracker to identify a first object of interest and a second object of interest in the first image frame based at least in part on one or more first templates associated with the first object of interest, one or more second templates associated with the second object of interest, and a spatial relationship between the first object of interest and the second object of interest, outputting a first indicator associated with a first image portion corresponding to the identified first object of interest, and outputting a second indicator associated with a second image portion corresponding to the identified second object of interest.