Zynq FPGA based and Optimized Design of Points of Interest Detection and Tracking in Moving Images for Mobility System
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 10
Abstract
In this paper, an FPGA based mobile feature detection and tracking solution is proposed for complex video processing systems. Presented algorithms include feature (corner) detection and robust memory allocation solution to track in real-time corners using the extended Kalman filter. Target implementation environment is a Xilinx Zynq SoC FPGA based. Using the HW/SW partitioning flexibility of Zynq, the ARM dual core processor performance and hardware accelerators generated by Xilinx SDSOC and Vivado HLS tools improve the system ability of processing video accurately with a high frame rate. Several original innovations allow to improve the processing time of the whole system (detection and tracking) by 50% as shown in experimental validation (tracking of visually impaired during their outdoor navigation).
Authors and Affiliations
Abdelkader BEN AMARA, Mohamed ATRI, Edwige PISSALOUX, Richard GRISEL
Keywords
Related Articles
- EP ID EP408215
- DOI 10.14569/IJACSA.2018.091053
- Views 94
- Downloads 0
Simulation of Building Evacuation: Performance Analysis and Simplified Model
Crowd evacuation from industrial buildings, factories, theatres, protest areas, festivals, exhibitions and religious/sports gatherings is very crucial in many dangerous scenarios, such as fire, earthquakes, threat and at...
DSP Real-Time Implementation of an Audio Compression Algorithm by using the Fast Hartley Transform
This paper presents a simulation and hardware implementation of a new audio compression scheme based on the fast Hartley transform in combination with a new modified run length encoding. The proposed algorithm consists o...
L-Bit to M-Bit Code Mapping
We investigate codes that map L bits to m bits to achieve a set of codewords which contain no consecutive n “0”s. Such codes are desirable in the design of line codes which, in the absence of clock information in data, p...
An Efficient Deep Learning Model for Olive Diseases Detection
Worldwide, plant diseases adversely influence both the quality and quantity of crop production. Thus, the early detection of such diseases proves efficient in enhancing the crop quality and reducing the production loss....
Predicting Fork Visibility Performance on Programming Language Interoperability in Open Source Projects
Despite a variety of programming languages adopted in open source (OS) projects, fork variation on some languages has been minimal and slow to be adopted, and there is little research as to why this is so. We therefore e...