Counting people by clustering person detector outputs
-
Altmetric Citations
Topkaya, Ibrahim Saygin; Erdogan, Hakan; Porikli, Fatih
Description
We present a people counting system that estimates the number of people in a scene by employing a clustering scheme based on Dirichlet Process Mixture Models (DP-MMs) which takes outputs of a person detector system as input. For each frame, we run a person detector on the frame, take its output as a set of detection areas and define a set of features based on spatial, color and temporal information for each detection. Then using these features, we cluster the detections using DPMMs and Gibbs...[Show more]
Collections | ANU Research Publications |
---|---|
Date published: | 2014 |
Type: | Conference paper |
URI: | http://hdl.handle.net/1885/52911 |
Source: | 11th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2014 |
DOI: | 10.1109/AVSS.2014.6918687 |
Download
File | Description | Size | Format | Image |
---|---|---|---|---|
01_Topkaya_Counting_people_by_clustering_2014.pdf | 1.91 MB | Adobe PDF | Request a copy |
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.
Updated: 17 November 2022/ Responsible Officer: University Librarian/ Page Contact: Library Systems & Web Coordinator