Trajectory analysis and semantic region modeling using nonparametric hierarchical bayesian models
We propose a novel framework of using a nonparametric Bayesian model, called Dual
Hierarchical Dirichlet Processes (Dual-HDP)(Wang et al. in IEEE Trans. Pattern Anal. Mach …
Hierarchical Dirichlet Processes (Dual-HDP)(Wang et al. in IEEE Trans. Pattern Anal. Mach …
Learning semantic scene models by object classification and trajectory clustering
Activity analysis is a basic task in video surveillance and has become an active research
area. However, due to the diversity of moving objects category and their motion patterns …
area. However, due to the diversity of moving objects category and their motion patterns …
Object tracking in structured environments for video surveillance applications
J Zhu, Y Lao, YF Zheng - … on circuits and systems for video …, 2009 - ieeexplore.ieee.org
We present a novel tracking method for effectively tracking objects in structured
environments. The tracking method finds applications in security surveillance, traffic …
environments. The tracking method finds applications in security surveillance, traffic …
Correspondence-free activity analysis and scene modeling in multiple camera views
We propose a novel approach for activity analysis in multiple synchronized but uncalibrated
static camera views. In this paper, we refer to activities as motion patterns of objects, which …
static camera views. In this paper, we refer to activities as motion patterns of objects, which …
[PDF][PDF] Surveillance camera autocalibration based on pedestrian height distributions
We propose a new framework for automatic surveillance camera calibration by observing
videos of pedestrians walking through the scene. Unlike existing methods that require …
videos of pedestrians walking through the scene. Unlike existing methods that require …
Learning visual flows: A Lie algebraic approach
We present a novel method for modeling dynamic visual phenomena, which consists of two
key aspects. First, the integral motion of constituent elements in a dynamic scene is captured …
key aspects. First, the integral motion of constituent elements in a dynamic scene is captured …
Camera calibration from periodic motion of a pedestrian
S Huang, X Ying, J Rong, Z Shang… - Proceedings of the …, 2016 - openaccess.thecvf.com
Camera calibration directly from image sequences of a pedestrian without using any
calibration object is a really challenging task and should be well solved in computer vision …
calibration object is a really challenging task and should be well solved in computer vision …
Practical camera calibration from moving objects for traffic scene surveillance
We address the problem of camera calibration for traffic scene surveillance, which supplies
a connection between 2-D image features and 3-D measurement. It is helpful to deal with …
a connection between 2-D image features and 3-D measurement. It is helpful to deal with …
Gestalt laws based tracklets analysis for human crowd understanding
Crowded scene analysis is a popular research topic due to its great application potentials,
such as intelligent video surveillance and crowd density estimation. In this paper, we …
such as intelligent video surveillance and crowd density estimation. In this paper, we …
Simultaneous surveillance camera calibration and foot-head homology estimation from human detections
We propose a novel method for automatic camera calibration and foot-head homology
estimation by observing persons standing at several positions in the camera field of view …
estimation by observing persons standing at several positions in the camera field of view …