101. ID3 algorithm based object discrimination for multi object tracking
- Author
-
Hye-Yeon Yu, Young-Nam Kim, and Moon-Hyun Kim
- Subjects
Statistical classification ,business.industry ,Computer science ,Video tracking ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Decision tree ,ID3 algorithm ,Entropy (information theory) ,Computer vision ,Pattern recognition ,Artificial intelligence ,business ,Cluster analysis - 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.
- Published
- 2014