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» Learning to Track Multiple People in Omnidirectional Video
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ICRA
2005
IEEE
162views Robotics» more  ICRA 2005»
10 years 5 months ago
Learning to Track Multiple People in Omnidirectional Video
— Meetings are a very important part of everyday life for professionals working in universities, companies or governmental institutions. We have designed a physical awareness sys...
Fernando De la Torre, Carlos Vallespí, Paul...
CVPR
2007
IEEE
11 years 1 months ago
Capturing People in Surveillance Video
This paper presents reliable techniques for detecting, tracking, and storing keyframes of people in surveillance video. The first component of our system is a novel face detector ...
Rogerio Feris, Ying-li Tian, Arun Hampapur
ICPR
2004
IEEE
11 years 17 days ago
Face Tracking in Meeting Room Scenarios Using Omnidirectional Views
The robust localization and tracking of faces in video streams is a fundamental concern for many subsequent multi-modal recognition approaches. Especially in meeting scenarios sev...
Frank Wallhoff, Martin Zobl, Gerhard Rigoll, Igor ...
ICMCS
2006
IEEE
371views Multimedia» more  ICMCS 2006»
10 years 5 months ago
Automatic Counting of Interacting People by using a Single Uncalibrated Camera
Automatic counting of people, entering or exiting a region of interest, is very important for both business and security applications. This paper introduces an automatic and robus...
Senem Velipasalar, Ying-li Tian, Arun Hampapur
CVPR
2010
IEEE
10 years 7 months ago
Naming People from Dialog: Temporal Grouping and Weak Supervision
We address the character identification problem in movies and television videos: assigning names to faces on the screen. Most prior work on person recognition in video assumes s...
Timothee Cour, Benjamin Sapp, Akash Nagle, Ben Tas...
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