Visual Path Prediction in Complex Scenes with Crowded Moving Objects

YoungJoon Yoo, Kimin Yun, Sangdoo Yun, JongHee Hong, Hawook Jeong, Jin Young Choi

CVPR 2016

doi:10.1109/CVPR.2016.292 /cvpr/2016/yoo2016cvpr-visual/

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.

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Cite

Text

Yoo et al. "Visual Path Prediction in Complex Scenes with Crowded Moving Objects." Conference on Computer Vision and Pattern Recognition, 2016. doi:10.1109/CVPR.2016.292

Markdown

[Yoo et al. "Visual Path Prediction in Complex Scenes with Crowded Moving Objects." Conference on Computer Vision and Pattern Recognition, 2016.](https://mlanthology.org/cvpr/2016/yoo2016cvpr-visual/) doi:10.1109/CVPR.2016.292

BibTeX

@inproceedings{yoo2016cvpr-visual,
  title     = {{Visual Path Prediction in Complex Scenes with Crowded Moving Objects}},
  author    = {Yoo, YoungJoon and Yun, Kimin and Yun, Sangdoo and Hong, JongHee and Jeong, Hawook and Choi, Jin Young},
  booktitle = {Conference on Computer Vision and Pattern Recognition},
  year      = {2016},
  doi       = {10.1109/CVPR.2016.292},
  url       = {https://mlanthology.org/cvpr/2016/yoo2016cvpr-visual/}
}