JOURNAL ARTICLE

A real-time system for classification of moving objects

Abstract

The paper describes a system for moving object classification. Being restricted by real-time system constraints we found a small set of features, characterizing object shape and motion dynamics. The system was tested on a large movie database including more than 100 image sequences showing people, animals, vehicles and plants in motion. The SVM classifier was used in our system, yielding very good classification results.

Keywords:
Artificial intelligence Computer science Support vector machine Classifier (UML) Computer vision Contextual image classification Object (grammar) Pattern recognition (psychology) Motion (physics) Image (mathematics)

Metrics

48
Cited By
3.40
FWCI (Field Weighted Citation Impact)
19
Refs
0.93
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Human Pose and Action Recognition
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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