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CVPR
2007
IEEE
15 years 11 months ago
Multi-Object Tracking Using Color, Texture and Motion
In this paper, we introduce a novel real-time tracker based on color, texture and motion information. RGB color histogram and correlogram (autocorrelogram) are exploited as color ...
Matti Pietikäinen, Valtteri Takala
CVPR
2012
IEEE
13 years 5 days ago
Changedetection.net: A new change detection benchmark dataset
Change detection is one of the most commonly encountered low-level tasks in computer vision and video processing. A plethora of algorithms have been developed to date, yet no wide...
Nil Goyette, Pierre-Marc Jodoin, Fatih Porikli, Ja...
64
Voted
ICIP
2002
IEEE
15 years 11 months ago
Hierarchical approach to enhanced active shape model for color video tracking
Tracking and recognizing non-rigid objects in video image sequences are complex tasks of increasing importance to many applications. In this paper, we present a hierarchical reali...
SangKyu Kang, Joon Ki Paik, Besma R. Abidi, Yan Zh...
ICPR
2004
IEEE
15 years 10 months ago
Extraction and Clustering of Motion Trajectories in Video
A system is described that tracks moving objects in a video dataset so as to extract a representation of the objects' 3D trajectories. The system then finds hierarchical clus...
Dan Buzan, George Kollios, Stan Sclaroff
66
Voted
ICPR
2002
IEEE
15 years 10 months ago
An Appearance Based Approach for Video Object Extraction and Representation
This paper describes a novel appearance based scheme for extraction and representation of video objects. The tracking algorithm used for video object extraction is based upon a ne...
Gaurav Garg, Pramod Kumar Sharma, Santanu Chaudhur...