Show/Hide Menu
Hide/Show Apps
anonymousUser
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Açık Bilim Politikası
Açık Bilim Politikası
Frequently Asked Questions
Frequently Asked Questions
Browse
Browse
By Issue Date
By Issue Date
Authors
Authors
Titles
Titles
Subjects
Subjects
Communities & Collections
Communities & Collections
Feature Detection and Tracking for Extraction of Crowd Dynamics
Date
2013-01-01
Author
Gunduz, Ayse Elvan
Temizel, Alptekin
Temizel, Tugba Taskaya
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
1
views
0
downloads
Extraction of crowd dynamics from video is the fundamental step for automatic detection of abnormal events. However, it is difficult to obtain sufficient performance with object tracking due to occlusions and insufficient resolution of the objects in the scene. As a result, optical flow or feature tracking methods are preferred in crowd videos. These applications also require algorithms to work in real-time. In this work, we investigated the applicability and performance of feature detection and tracking algorithms in crowd videos. The algorithms that were tested in this paper include Scale Invariant Feature Transform (SIFT) and Speeded-Up Robust Features (SURF) as well as relatively newer approaches Binary Robust Independent Elementary Features (BRIEF) and Oriented Fast and Rotated Brief (ORB). These algorithms have been tested with videos having different crowd densities and comparative results of their accuracy and computational performance have been reported. The results show that BRIEF is computationally faster than the others, allowing real-time operation, and comparable with other algorithms regarding matching accuracy.
Subject Keywords
Video surveillance
,
Feature extraction
,
Feature matching
,
Computer vision
URI
https://hdl.handle.net/11511/31406
DOI
https://doi.org/10.1109/siu.2013.6531572
Collections
Graduate School of Informatics, Conference / Seminar