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 …
A comparative study on shadow compensation of color aerial images in invariant color models
VJD Tsai - IEEE transactions on geoscience and remote …, 2006 - ieeexplore.ieee.org
In urban color aerial images, shadows cast by cultural features may cause false color tone,
loss of feature information, shape distortion of objects, and failure of conjugate image …
loss of feature information, shape distortion of objects, and failure of conjugate image …
Goal evaluation of segmentation algorithms for traffic sign recognition
H Gómez-Moreno, S Maldonado-Bascón… - IEEE Transactions …, 2010 - ieeexplore.ieee.org
This paper presents a quantitative comparison of several segmentation methods (including
new ones) that have successfully been used in traffic sign recognition. The methods …
new ones) that have successfully been used in traffic sign recognition. The methods …
Optimal color space selection method for plant/soil segmentation in agriculture
JL Hernández-Hernández, G García-Mateos… - … and Electronics in …, 2016 - Elsevier
Color analysis techniques in agriculture should be able to deal with non-trivial capture
conditions such as shadows, noise, pixel saturation, low lighting, different varieties of crops …
conditions such as shadows, noise, pixel saturation, low lighting, different varieties of crops …
Study and comparison of color models for automatic image analysis in irrigation management applications
G García-Mateos, JL Hernández-Hernández… - Agricultural water …, 2015 - Elsevier
Image processing and computer vision are increasingly being used in water management
applications in agriculture. Images can provide valuable information on the percentage of …
applications in agriculture. Images can provide valuable information on the percentage of …
Framework for real-time behavior interpretation from traffic video
Video-based surveillance systems have a wide range of applications for traffic monitoring,
as they provide more information as compared to other sensors. In this paper, we present a …
as they provide more information as compared to other sensors. In this paper, we present a …
Background subtraction and shadow detection in grayscale video sequences
JCS Jacques, CR Jung… - XVIII Brazilian symposium …, 2005 - ieeexplore.ieee.org
Tracking moving objects in video sequence is an important problem in computer vision, with
applications several fields, such as video surveillance and target tracking. Most techniques …
applications several fields, such as video surveillance and target tracking. Most techniques …
Comparison of SDN OpenFlow network simulator and emulators: EstiNet vs. Mininet
SY Wang - 2014 IEEE Symposium on Computers and …, 2014 - ieeexplore.ieee.org
In this paper, we compare and evaluate the correctness, performance, and scalability of
EstiNet OpenFlow simulator, EstiNet OpenFlow emulator, and Mininet OpenFlow emulator …
EstiNet OpenFlow simulator, EstiNet OpenFlow emulator, and Mininet OpenFlow emulator …
An evaluation of moving shadow detection techniques
Shadows of moving objects may cause serious problems in many computer vision
applications, including object tracking and object recognition. In common object detection …
applications, including object tracking and object recognition. In common object detection …
Detect any shadow: Segment anything for video shadow detection
Segment anything model (SAM) has achieved great success in the field of natural image
segmentation. Nevertheless, SAM tends to consider shadows as background and therefore …
segmentation. Nevertheless, SAM tends to consider shadows as background and therefore …