A review of computer vision techniques for the analysis of urban traffic
N Buch, SA Velastin, J Orwell - IEEE Transactions on intelligent …, 2011 - ieeexplore.ieee.org
Automatic video analysis from urban surveillance cameras is a fast-emerging field based on
computer vision techniques. We present here a comprehensive review of the state-of-the-art …
computer vision techniques. We present here a comprehensive review of the state-of-the-art …
On the role and the importance of features for background modeling and foreground detection
Background modeling has emerged as a popular foreground detection technique for various
applications in video surveillance. Background modeling methods have become increasing …
applications in video surveillance. Background modeling methods have become increasing …
Recent advanced statistical background modeling for foreground detection-a systematic survey
T Bouwmans - Recent Patents on Computer Science, 2011 - ingentaconnect.com
Background modeling is currently used to detect moving objects in video acquired from
static cameras. Numerous statistical methods have been developed over the recent years …
static cameras. Numerous statistical methods have been developed over the recent years …
Combination of video change detection algorithms by genetic programming
Within the field of computer vision, change detection algorithms aim at automatically
detecting significant changes occurring in a scene by analyzing the sequence of frames in a …
detecting significant changes occurring in a scene by analyzing the sequence of frames in a …
[图书][B] Background modeling and foreground detection for video surveillance
Background modeling and foreground detection are important steps in video processing
used to detect robustly moving objects in challenging environments. This requires effective …
used to detect robustly moving objects in challenging environments. This requires effective …
Real-time people counting using blob descriptor
We propose a system for counting the number of pedestrians in real-time. This system
estimates “how many pedestrians are and where they are in video sequences” by the …
estimates “how many pedestrians are and where they are in video sequences” by the …
Silhouette extraction based on iterative spatio-temporal local color transformation and graph-cut segmentation
Y Makihara, Y Yagi - 2008 19th International Conference on …, 2008 - ieeexplore.ieee.org
We propose an iterative scheme of spatio-temporal local color transformation of background
and graph-cut segmentation for silhouette extraction. Given an initial background …
and graph-cut segmentation for silhouette extraction. Given an initial background …
Fast background initialization with recursive Hadamard transform
D Baltieri, R Vezzani… - 2010 7th IEEE International …, 2010 - ieeexplore.ieee.org
In this paper, we present a new and fast technique for background estimation from cluttered
image sequences. Most of the background initialization approaches developed so far collect …
image sequences. Most of the background initialization approaches developed so far collect …
Object detection based on spatiotemporal background models
S Yoshinaga, A Shimada, H Nagahara… - Computer Vision and …, 2014 - Elsevier
We present a robust background model for object detection and its performance evaluation
using the database of the Background Models Challenge (BMC). Background models …
using the database of the Background Models Challenge (BMC). Background models …
[HTML][HTML] Low-complexity background subtraction based on spatial similarity
S Lee, C Lee - Eurasip Journal on Image and video processing, 2014 - Springer
Robust detection of moving objects from video sequences is an important task in machine
vision systems and applications. To detect moving objects, accurate background subtraction …
vision systems and applications. To detect moving objects, accurate background subtraction …