Visual Path Prediction in Complex Scenes With Crowded Moving Objects
YoungJoon Yoo, Kimin Yun, Sangdoo Yun, JongHee Hong, Hawook Jeong, Jin Young Choi
Abstract
This paper proposes a novel path prediction algorithm for progressing one step further than the existing works focusing on single target path prediction. In this paper, we consider moving dynamics of co-occurring objects for path prediction in a scene that includes crowded moving objects. To solve this problem, we first suggest a two-layered probabilistic model to find major movement patterns and their co-occurrence tendency. By utilizing the unsupervised learning results from the model, we present an algorithm to find the future location of any target object. Through extensive qualitative/quantitative experiments, we show that our algorithm can find a plausible future path in complex scenes with a large number of moving objects.
BibTeX
@inproceedings{cvpr2016_visualpathpredic,
title = {Visual Path Prediction in Complex Scenes With Crowded Moving Objects},
author = {YoungJoon Yoo and Kimin Yun and Sangdoo Yun and JongHee Hong and Hawook Jeong and Jin Young Choi},
booktitle = {CVPR 2016},
year = {2016}
}