Title | ||
---|---|---|
Group Activity Recognition With Group Interaction Zone Based On Relative Distance Between Human Objects |
Abstract | ||
---|---|---|
In this paper, we address the problem of recognizing group activities of human objects based on their motion trajectory analysis. In order to resolve the complexity and ambiguity problems caused by a large number of human objects, we propose a Group Interaction Zone (GIZ) to detect meaningful groups in a scene to effectively handle noisy information. Two novel features, Group Interaction Energy (GIE) feature and Attraction and Repulsion Features, are proposed to better describe group activities within a GIZ. We demonstrate the performance of our method in two ways by (i) comparing the performance of the proposed method with the previous methods and (ii) analyzing the influence of the proposed features and GIZ-based meaningful group detection on group activity recognition using public datasets. |
Year | DOI | Venue |
---|---|---|
2015 | 10.1142/S0218001415550071 | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE |
Keywords | Field | DocType |
Human group activity recognition, visual surveillance, machine vision, pattern recognition | Group detection,Computer vision,Pattern recognition,Machine vision,Group activity recognition,Group interaction,Artificial intelligence,Trajectory analysis,Ambiguity,Visual surveillance,Mathematics | Journal |
Volume | Issue | ISSN |
29 | 5 | 0218-0014 |
Citations | PageRank | References |
11 | 0.52 | 21 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nam-Gyu Cho | 1 | 150 | 8.31 |
Ji Young Kim | 2 | 38 | 9.66 |
Unsang Park | 3 | 815 | 36.32 |
Jeong-seon Park | 4 | 202 | 18.13 |
Seong-Whan Lee | 5 | 3756 | 343.90 |