Paper
4 March 2015 Toward creation of interaction models: simple objects-interaction approach
Teresa Hernández-Díaz, Juan Manuel García-Huerta, Alberto Vazquez-Cervantes, Hugo Jiménez-Hernández, Ana-M. Herrera-Navarro
Author Affiliations +
Proceedings Volume 9407, Video Surveillance and Transportation Imaging Applications 2015; 94070V (2015) https://doi.org/10.1117/12.2080827
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
Abstract
This paper presents a proposal to manage simple-objects interaction in video surveillance system. The proposal consists on locating a set of features in each video frame. Maxima regions from the second Eigen- value of the tensor matrix are used as features. Afterwards, statics features are discarded (labeling as background) and dynamic features are used to represent objects in motion (foreground). Dynamics features are dynamically clustered with k-neighborhood and EM algorithm. The centroid of each cluster locally represents motion objects, and its displacement through time is denoted by displacement of cumulus over several frames. The behavior of cumulus in time help us to model simple object interactions. These primitives can be used in addition to a causal dependencies across time; i.e. cluster division, cluster fusion and cluster motion with respect to the others, offer information of local dynamics which is referred to local interactions. And based on causal dependencies theory, a graph dependence of local centroids behavior can be built. This graph can represent the local interaction model. In experimental section, the approach is tested in several scenarios, extracting simple interaction objects in controlled/not-controlled scenarios.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Teresa Hernández-Díaz, Juan Manuel García-Huerta, Alberto Vazquez-Cervantes, Hugo Jiménez-Hernández, and Ana-M. Herrera-Navarro "Toward creation of interaction models: simple objects-interaction approach", Proc. SPIE 9407, Video Surveillance and Transportation Imaging Applications 2015, 94070V (4 March 2015); https://doi.org/10.1117/12.2080827
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KEYWORDS
Cameras

Expectation maximization algorithms

Motion models

Video surveillance

Video

Feature selection

Feature extraction

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