DocumentCode
226974
Title
ID3 algorithm based object discrimination for multi object tracking
Author
Young-Nam Kim ; Hye-Yeon Yu ; Moon-Hyun Kim
Author_Institution
Dept. of Inf. & Commun. Eng., SungKyunKwan Univ., Suwon, South Korea
fYear
2014
fDate
24-26 Sept. 2014
Firstpage
535
Lastpage
539
Abstract
In this paper, we assume that a single pedestrian is a single blob, and define the representative properties of blobs to selection between merge and split of blobs. And we collect attribute information of the blob and make decision tree by using the ID3 algorithm. Next, we experimented for dividing the decision tree by directing the status of merge and split, as a result, it is possible to generate a pedestrian trajectory of the individual.
Keywords
decision trees; object tracking; pedestrians; traffic engineering computing; ID3 algorithm; decision tree; multiobject tracking; object discrimination; pedestrian trajectory; single blob; single pedestrian; Classification algorithms; Clustering algorithms; Decision trees; Entropy; Equations; Tracking; Trajectory; A* algorithm; FCM clustering; ID3 algorithm; decision tree; object tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Information Technologies (ISCIT), 2014 14th International Symposium on
Conference_Location
Incheon
Type
conf
DOI
10.1109/ISCIT.2014.7011971
Filename
7011971
Link To Document