Abstract: We present a novel stochastic, adaptive strategy for tracking multiple people in a large network of video cameras. Similarities between features ...

We present a novel stochastic, adaptive strategy for tracking multiple people in a large network of video cam- eras. Similarities between features ...

We present a novel stochastic, adaptive strategy for tracking multiple people in a large network of video cameras. Similarities between features (appearance and ...

Bibliographic details on Stochastic Adaptive Tracking In A Camera Network.

Stochastic Adaptive Tracking In A Camera Network. Song B., Roy-Chowdhury A.K.. Expand. Publication type: Proceedings Article. Publication date: 2007-01-01.

In this paper, we propose a novel approach to track multiple objects across non-overlapping cameras, which aims at giving each object a unique label during ...

Some results in discrete-time stochastic adaptive control are surveyed. The survey divides itself into two parts—Bayesian and non-Bayesian adaptive control.

In this research article, we propose a novel method to classify stochastic remote sensing events and to perform adaptive posture estimation.

Stochastic adaptive tracking in a camera network. B Song, AK Roy-Chowdhury. 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007. 76, 2007.

Jun 15, 2022 · In this paper, we propose a Deep Reinforcement Learning framework that guides the scene-adaptive choice of radar tracking-parameters towards an improved ...