Paper Info
Title
Real-time object tracking with relevance feedback
Abstract
Currently there are many systems available that use relevance feedback for text and image retrieval. This query by example method has been shown to optimize the search strategy whilst keeping a fast response time, two important factors when querying large image databases. The use of relevance feedback in real time video object tracking and identification however is essentially unexplored. This paper discusses the ongoing project and current results towards integrating interactive relevance feedback within the context of video object tracking. We discuss the important limitations in real time video object tracking and we design a next generation video object tracking system which exploits interactive relevance feedback towards addressing the primary limitations.
Year
DOI
Venue
2007
10.1145/1282280.1282296
CIVR
Keywords
Field
DocType
important factor,next generation video,real time video object,image retrieval,important limitation,real-time object tracking,relevance feedback,fast response time,video object tracking,use relevance feedback,interactive relevance feedback,query by example,object tracking,tracking system,real time
Computer vision,Relevance feedback,Information retrieval,Motion detection,Computer science,Response time,Image retrieval,Exploit,Query by Example,Video tracking,Artificial intelligence
Conference
Citations 
PageRank 
References 
4
0.41
7
Authors
3
Name
Order
Citations
PageRank
Ard Oerlemans1836.20
Joachim T. Rijsdam240.41
Michael S. Lew32742166.02