[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 …
Background subtraction based on color and depth using active sensors
Depth information has been used in computer vision for a wide variety of tasks. Since active
range sensors are currently available at low cost, high-quality depth maps can be used as …
range sensors are currently available at low cost, high-quality depth maps can be used as …
[PDF][PDF] Fpga-soc based object tracking algorithms: A literature review
M Al-yoonus, S Al-Kazzaz - Al-Rafidain Engineering Journal, 2023 - iasj.net
Systems for object detection and tracking are becoming increasingly important in practical
applications today. Many research and development groups are interested in improving the …
applications today. Many research and development groups are interested in improving the …
ASIC and FPGA implementation of the Gaussian mixture model algorithm for real-time segmentation of high definition video
M Genovese, E Napoli - IEEE transactions on very large scale …, 2013 - ieeexplore.ieee.org
Background identification is a common feature in many video processing systems. This
paper proposes two hardware implementations of the OpenCV version of the Gaussian …
paper proposes two hardware implementations of the OpenCV version of the Gaussian …
Real-time multi-target localization from unmanned aerial vehicles
X Wang, J Liu, Q Zhou - Sensors, 2016 - mdpi.com
In order to improve the reconnaissance efficiency of unmanned aerial vehicle (UAV) electro-
optical stabilized imaging systems, a real-time multi-target localization scheme based on an …
optical stabilized imaging systems, a real-time multi-target localization scheme based on an …
Parallel Hough Transform-based straight line detection and its FPGA implementation in embedded vision
X Lu, L Song, S Shen, K He, S Yu, N Ling - Sensors, 2013 - mdpi.com
Hough Transform has been widely used for straight line detection in low-definition and still
images, but it suffers from execution time and resource requirements. Field Programmable …
images, but it suffers from execution time and resource requirements. Field Programmable …
Background subtraction model based on color and depth cues
EJ Fernandez-Sanchez, L Rubio, J Diaz… - Machine vision and …, 2014 - Springer
Background subtraction consists of segmenting objects in movement in a video captured by
a static camera. This is typically performed using color information, but it leads to wrong …
a static camera. This is typically performed using color information, but it leads to wrong …
Real-time background generation and foreground object segmentation for high-definition colour video stream in FPGA device
T Kryjak, M Komorkiewicz, M Gorgon - Journal of Real-Time Image …, 2014 - Springer
The processing of a high-definition video stream in real-time is a challenging task for
embedded systems. However, modern FPGA devices have both a high operating frequency …
embedded systems. However, modern FPGA devices have both a high operating frequency …
An FPGA-based ultra-high-speed object detection algorithm with multi-frame information fusion
An ultra-high-speed algorithm based on Histogram of Oriented Gradient (HOG) and Support
Vector Machine (SVM) for hardware implementation at 10,000 frames per second (FPS) …
Vector Machine (SVM) for hardware implementation at 10,000 frames per second (FPS) …
Real-time implementation of the ViBe foreground object segmentation algorithm
T Kryjak, M Gorgon - 2013 Federated Conference on Computer …, 2013 - ieeexplore.ieee.org
This paper presents a novel real-time hardware implementation of the ViBe (VIsual
Background Extractor) background generation algorithm in reconfigurable FPGA device …
Background Extractor) background generation algorithm in reconfigurable FPGA device …