Paper Info
Title
Image moments-based structuring and tracking of objects
Abstract
This paper presents a new method for structuring and tracking of objects in video sequences. Our approach is based on image moments and the BSP-tree data structure. We use invariant properties of these moments to construct a BSP-tree and determine an ellipsis that approximates the object's shape. Then, we employ this information to track objects frame by frame through the image sequence. The method works well for segmented images with a single object and we assume that the motion will not change abruptly.
Year
DOI
Venue
2002
10.1109/SIBGRA.2002.1167130
SIBGRAPI
Keywords
Field
DocType
image sequences,object detection,optical tracking,tree data structures,video signal processing,BSP-tree data structure,ellipsis,image moments-based object structuring,image moments-based object tracking,invariant properties,segmented images,video sequences
Binary space partitioning,Data structure,Object detection,Computer vision,Pattern recognition,Image processing,Invariant (mathematics),Artificial intelligence,Structuring,Velocity Moments,Image moment,Mathematics
Conference
ISSN
ISBN
Citations 
1530-1834
0-7695-1846-X
6
PageRank 
References 
Authors
0.55
8
3
Name
Order
Citations
PageRank
Lourena Rocha160.55
Luiz Velho21162120.74
Paulo Cezar Pinto Carvalho371.59