Implementation of Arctangent Computation Unit for Pedestrian Recognition System-on-Chip
نویسندگان
چکیده
In this paper, we implement the arctangent computation in Histograms of Oriented Gradients (HOG) descriptor extraction, targeting realtime pedestrian recognition System-on-Chip (SoC) design. Experimental results with 90nm CMOS technology shows the feasibility of the hardware architecture for SoC design.
منابع مشابه
Pedestrian Detection Image Processing with FPGA
This paper focuses on real-time pedestrian detection using the Histograms of Oriented Gradients (HOG) feature descriptor algorithm in combination with a Linear Support Vector Machine (LSVM) on a Field Programmable Gate Array (FPGA). Pedestrian detection on embedded systems is a challenging problem since accurate recognition requires extensive computation. To achieve real-time pedestrian recogni...
متن کاملReal-Time and High-Accuracy Arctangent Computation Using CORDIC and Fast Magnitude Estimation
This paper presents an improved VLSI (Very Large Scale of Integration) architecture for real-time and high-accuracy computation of trigonometric functions with fixed-point arithmetic, particularly arctangent using CORDIC (Coordinate Rotation Digital Computer) and fast magnitude estimation. The standard CORDIC implementation suffers of a loss of accuracy when the magnitude of the input vector be...
متن کاملImplementation of Face Recognition Algorithm on Fields Programmable Gate Array Card
The evolution of today's application technologies requires a certain level of robustness, reliability and ease of integration. We choose the Fields Programmable Gate Array (FPGA) hardware description language to implement the facial recognition algorithm based on "Eigen faces" using Principal Component Analysis. In this paper, we first present an overview of the PCA used for facial recognition,...
متن کاملA method for real-time implementation of HOG feature extraction
Histogram of oriented gradient (HOG) is an efficient feature extraction scheme, and HOG descriptors are feature descriptors which is widely used in computer vision and image processing for the purpose of biometrics, target tracking, automatic target detection(ATD) and automatic target recognition(ATR) etc. However, computation of HOG feature extraction is unsuitable for hardware implementation ...
متن کاملImproved OpenCL-based Implementation of Social Field Pedestrian Model
Two aspects of improvements are proposed for the OpenCL-based implementation of the social field pedestrian model. In the aspect of algorithm, a method based on the idea of divide-and-conquer is devised in order to overcome the problem of global memory depletion when fields are of a larger size. This is of importance for the study of finer pedestrian walking behavior, which usually implies usag...
متن کامل