Authors:
Abdalbassir Abou-Elailah
1
;
Valerie Gouet-Brunet
1
and
Isabelle Bloch
2
Affiliations:
1
Université Paris-Est, France
;
2
Telecom ParisTech and CNRS LTCI, France
Keyword(s):
Spatial Relationships, Angle Histogram, Distances, Fuzzy Object Representation, Detection of ruptures.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Fuzzy Logic
;
Image and Video Analysis
;
Image Understanding
;
Knowledge Acquisition and Representation
;
Pattern Recognition
;
Software Engineering
;
Theory and Methods
;
Video Analysis
Abstract:
The purpose of this work is to detect strong changes in spatial relationships between objects in video sequences,
with a limited knowledge on the objects. First, a fuzzy representation of the objects is proposed
based on low-level generic primitives. Furthermore, angle and distance histograms are used as examples to
model the spatial relationships between two objects. Then, we estimate the distances between different angle
or distance histograms during time. By analyzing the evolution of the spatial relationships during time, ruptures
are detected in this evolution. Experimental results show that the proposed method can efficiently detect
the ruptures in the spatial relationships, exploiting only low-level primitives. This constitutes a promising step
towards event detection in videos, with few a priori models on the objects.