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» Using Histograms to Detect and Track Objects in Color Video
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ICPR
2010
IEEE
14 years 1 months ago
Social Network Approach to Analysis of Soccer Game
Video understanding has been an active area of research, where many articles have been published on how to detect and track objects in videos, and how to analyze their trajectorie...
Kyoung-Jin Park, Alper Yilmaz
CIVR
2004
Springer
184views Image Analysis» more  CIVR 2004»
14 years 1 months ago
Semantic Event Detection in Sports Through Motion Understanding
In this paper we investigate the retrieval of semantic events that occur in broadcast sports footage. We do so by considering the spatio-temporal behaviour of an object in the foot...
Niall Rea, Rozenn Dahyot, Anil C. Kokaram
CVPR
2007
IEEE
14 years 9 months ago
Topology matching for 3D video compression
This paper presents a new technique to reduce the storage cost of high quality 3D video. In 3D video [12], a sequence of 3D objects represents scenes in motion. Every frame is com...
Tony Tung, Francis Schmitt, Takashi Matsuyama
MVA
2007
211views Computer Vision» more  MVA 2007»
13 years 9 months ago
Shadow Elimination in Traffic Video Segmentation
Shadow detection is critical for robust and reliable vision-based systems for traffic vision analysis. Shadow points are often misclassified as object points causing errors in loc...
Hong Liu, Jintao Li, Qun Liu, Yueliang Qian
ICCV
2001
IEEE
14 years 9 months ago
A Background Model Initialization Algorithm for Video Surveillance
Many motion detection and tracking algorithms rely on the process of background subtraction, a technique which detects changes from a model of the background scene. We present a n...
Daniel Gutchess, Miroslav Trajkovic, Eric Cohen-So...