Paper Info
Title
Camera Alignment Using Trajectory Intersections in Unsynchronized Videos
Abstract
This paper addresses the novel and challenging problem of aligning camera views that are unsynchronized by low and/or variable frame rates using object trajectories. Unlike existing trajectory-based alignment methods, our method does not require frame-to-frame synchronization. Instead, we propose using the intersections of corresponding object trajectories to match views. To find these intersections, we introduce a novel trajectory matching algorithm based on matching Spatio-Temporal Context Graphs (STCGs). These graphs represent the distances between trajectories in time and space within a view, and are matched to an STCG from another view to find the corresponding trajectories. To the best of our knowledge, this is one of the first attempts to align views that are unsynchronized with variable frame rates. The results on simulated and real-world datasets show trajectory intersections are a viable feature for camera alignment, and that the trajectory matching method performs well in real-world scenarios.
Year
DOI
Venue
2013
10.1109/ICCV.2013.143
Computer Vision
Keywords
Field
DocType
cameras,image matching,video signal processing,camera alignment,object trajectories,spatio-temporal context graphs,trajectory intersections,trajectory matching algorithm,trajectory matching method,trajectory-based alignment methods,unsynchronized videos,variable frame rates,Camera Alignment,Trajectory Matching,Unsynchronized Videos
Graph,Computer vision,Synchronization,Image matching,Computer science,Spacetime,Frame rate,Artificial intelligence,Trajectory,Blossom algorithm
Conference
ISSN
Citations 
PageRank 
1550-5499
0
0.34
References 
Authors
15
3
Name
Order
Citations
PageRank
Thomas Kuo1272.41
Santhoshkumar Sunderrajan2414.89
B. S. Manjunath37561783.37