Real-time object detection, tracking and occlusion reasoning
Abstract
A system for object detection and tracking includes technologies to, among other things, detect and track moving objects, such as pedestrians and/or vehicles, in a real-world environment, handle static and dynamic occlusions, and continue tracking moving objects across the fields of view of multiple different cameras.
- Inventors:
- Issue Date:
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1423440
- Patent Number(s):
- 9904852
- Application Number:
- 14/286,305
- Assignee:
- SRI International (Menlo Park, CA)
- DOE Contract Number:
- AC05-76RL01830
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 2014 May 23
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 47 OTHER INSTRUMENTATION
Citation Formats
Divakaran, Ajay, Yu, Qian, Tamrakar, Amir, Sawhney, Harpreet Singh, Zhu, Jiejie, Javed, Omar, Liu, Jingen, Cheng, Hui, and Eledath, Jayakrishnan. Real-time object detection, tracking and occlusion reasoning. United States: N. p., 2018.
Web.
Divakaran, Ajay, Yu, Qian, Tamrakar, Amir, Sawhney, Harpreet Singh, Zhu, Jiejie, Javed, Omar, Liu, Jingen, Cheng, Hui, & Eledath, Jayakrishnan. Real-time object detection, tracking and occlusion reasoning. United States.
Divakaran, Ajay, Yu, Qian, Tamrakar, Amir, Sawhney, Harpreet Singh, Zhu, Jiejie, Javed, Omar, Liu, Jingen, Cheng, Hui, and Eledath, Jayakrishnan. Tue .
"Real-time object detection, tracking and occlusion reasoning". United States. https://www.osti.gov/servlets/purl/1423440.
@article{osti_1423440,
title = {Real-time object detection, tracking and occlusion reasoning},
author = {Divakaran, Ajay and Yu, Qian and Tamrakar, Amir and Sawhney, Harpreet Singh and Zhu, Jiejie and Javed, Omar and Liu, Jingen and Cheng, Hui and Eledath, Jayakrishnan},
abstractNote = {A system for object detection and tracking includes technologies to, among other things, detect and track moving objects, such as pedestrians and/or vehicles, in a real-world environment, handle static and dynamic occlusions, and continue tracking moving objects across the fields of view of multiple different cameras.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {2}
}
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