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
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;
Conference_Titel :
Communications and Information Technologies (ISCIT), 2014 14th International Symposium on
Conference_Location :
Incheon
DOI :
10.1109/ISCIT.2014.7011971
