Parametric annealing: a stochastic search method for human pose tracking

04/30/2012
by   Prabhu Kaliamoorthi, et al.
0

Model based methods to marker-free motion capture have a very high computational overhead that make them unattractive. In this paper we describe a method that improves on existing global optimization techniques to tracking articulated objects. Our method improves on the state-of-the-art Annealed Particle Filter (APF) by reusing samples across annealing layers and by using an adaptive parametric density for diffusion. We compare the proposed method with APF on a scalable problem and study how the two methods scale with the dimensionality, multi-modality and the range of search. Then we perform sensitivity analysis on the parameters of our algorithm and show that it tolerates a wide range of parameter settings. We also show results on tracking human pose from the widely-used Human Eva I dataset. Our results show that the proposed method reduces the tracking error despite using less than 50 computational resources as APF. The tracked output also shows a significant qualitative improvement over APF as demonstrated through image and video results.

READ FULL TEXT
research
07/31/2016

A Data-driven Approach for Human Pose Tracking Based on Spatio-temporal Pictorial Structure

In this paper, we present a data-driven approach for human pose tracking...
research
12/05/2019

15 Keypoints Is All You Need

Pose tracking is an important problem that requires identifying unique h...
research
05/07/2019

LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking

In this paper, we propose a novel effective light-weight framework, call...
research
12/13/2015

Evaluation of Pose Tracking Accuracy in the First and Second Generations of Microsoft Kinect

Microsoft Kinect camera and its skeletal tracking capabilities have been...
research
07/07/2023

Back to Optimization: Diffusion-based Zero-Shot 3D Human Pose Estimation

Learning-based methods have dominated the 3D human pose estimation (HPE)...
research
04/12/2021

A stochastic homotopy tracking algorithm for parametric systems of nonlinear equations

The homotopy continuation method has been widely used in solving paramet...
research
07/23/2021

Human Pose Regression with Residual Log-likelihood Estimation

Heatmap-based methods dominate in the field of human pose estimation by ...

Please sign up or login with your details

Forgot password? Click here to reset