A Representation Theory for Morphological Image and Signal Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Implementation of Binary Morphological Operations on Hardware-Efficient Systolic Architectures
Journal of VLSI Signal Processing Systems
Learning Patterns of Activity Using Real-Time Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
W4: Real-Time Surveillance of People and Their Activities
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Euclidean Distance Transform Using Grayscale Morphology Decomposition
IEEE Transactions on Pattern Analysis and Machine Intelligence
DELTA '02 Proceedings of the The First IEEE International Workshop on Electronic Design, Test and Applications (DELTA '02)
A Fast Background Scene Modeling and Maintenance for Outdoor Surveillance
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Background Subtraction and Shadow Detection in Grayscale Video Sequences
SIBGRAPI '05 Proceedings of the XVIII Brazilian Symposium on Computer Graphics and Image Processing
An efficient digital VLSI implementation of Gaussian mixture models-based classifier
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
An Improved Moving Object Detection Algorithm Based on Frame Difference and Edge Detection
ICIG '07 Proceedings of the Fourth International Conference on Image and Graphics
An Embedded Real-Time Surveillance System: Implementation and Evaluation
Journal of Signal Processing Systems
A hardware architecture for real-time video segmentation utilizing memory reduction techniques
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Image Processing
Efficient moving object segmentation algorithm using background registration technique
IEEE Transactions on Circuits and Systems for Video Technology
Mixture of Gaussians-Based Background Subtraction for Bayer-Pattern Image Sequences
IEEE Transactions on Circuits and Systems for Video Technology
Hierarchical Method for Foreground Detection Using Codebook Model
IEEE Transactions on Circuits and Systems for Video Technology
ViBe: A Universal Background Subtraction Algorithm for Video Sequences
IEEE Transactions on Image Processing
A Flexible Parallel Hardware Architecture for AdaBoost-Based Real-Time Object Detection
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Journal of Real-Time Image Processing
Hi-index | 0.00 |
The identification of moving objects is a basic step in computer vision. The identification begins with the segmentation and is followed by a denoising phase. This paper proposes the FPGA hardware implementation of segmentation and denoising unit. The segmentation is conducted using the Gaussian mixture model (GMM), a probabilistic method for the segmentation of the background. The denoising is conducted implementing the morphological operators of erosion, dilation, opening and closing. The proposed circuit is optimized to perform real time processing of HD video sequences (1,920 脳 1,080 @ 20 fps) when implemented on FPGA devices. The circuit uses an optimized fixed width representation of the data and implements high performance arithmetic circuits. The circuit is implemented on Xilinx and Altera FPGA. Implemented on xc5vlx50 Virtex5 FPGA, it can process 24 fps of an HD video using 1,179 Slice LUTs and 291 Slice Registers; the dynamic power dissipation is 0.46 mW/MHz. Implemented on EP2S15F484C3 StratixII, it provides a maximum working frequency of 44.03 MHz employing 5038 Logic Elements and 7,957 flip flop with a dynamic power dissipation of 4.03 mW/MHz.