Company News

Size-Adaptive Pixel Based LUT Tracker

Cher Keng Heng, Samantha Yue Ying Lim, Zhiheng Niu, Bo Li
The Visual Object Tracking VOT2014 Challenge in conjunction with ECCV 2014, 2014.09

PLT 14 tracker is an improved version of PLT tracker used in VOT 2013 [35], with size adaptation for the tracked object. PLT 14 uses discriminative pixel features to 20 Authors Suppressed Due to Excessive Length compute the scanning window score in a tracking-by-detection framework. The window score is ‘back projected’ to its contributing pixels. For each pixel, the pixel score is computed by summing the back projected scores of the windows that use this pixel. This score contributes to estimate which pixel belongs to the object during tracking and determine a best bounding box

Link: https://link.springer.com/chapter/10.1007/978-3-319-16181-5_14

Back

Share

Panasonic R&D Center Singapore marking the first full-year deployment of our AI-based Visitor Counting solution with the latest technology update at the Singapore Flyer’s Time Capsule

Panasonic R&D Center Singapore deployed our AI-based Visitor Counting solution at the iconic Singapore Flyer – Asia’s largest giant observation…

Acceptance of two papers by ICCV’17 Workshop on MS-Celeb-1M: Recognizing One Million Celebrities in the Real World

Panasonic R&D Center Singapore, collaborating with the National University of Singapore (NUS), co-authored two papers that have been accepted by ICCV (International Conference on Computer Vision*) 2017 Workshop on MS-Celeb-1M: Recognizing One Million Celebrities in the Real World, which will be held in Venice, Italy, on October 28th, 2017.

Panasonic wins the top spot in a Future Convenience Store Challenge at IREX2019, an International Robot Exhibition 2019

Panasonic R&D Center Singapore (PRDCSG) joined the Nara Institute of Science and Technology, Ritsumeikan University, Panasonic’s Robotics Promotion Office, LS,…

Panasonic R&D Center Singapore Takes Second Place at the Second Edition of the AI Driving Olympics

Panasonic R&D Center Singapore finished second among the top 5 teams that made the cut from among the 50 teams in a leading international competition – that is, the second edition of the AI Driving Olympics, where Panasonic R&D Center Singapore is last year’s champion.