@inproceedings{scholars2764, journal = {ICIAS 2012 - 2012 4th International Conference on Intelligent and Advanced Systems: A Conference of World Engineering, Science and Technology Congress (ESTCON) - Conference Proceedings}, pages = {745--749}, year = {2012}, title = {An optimal design of moving objects tracking algorithm on FPGA}, address = {Kuala Lumpur}, volume = {2}, note = {cited By 3; Conference of 2012 4th International Conference on Intelligent and Advanced Systems, ICIAS 2012 ; Conference Date: 12 June 2012 Through 14 June 2012; Conference Code:93534}, doi = {10.1109/ICIAS.2012.6306112}, keywords = {Adaptive thresholds; Dataflow; Different frequency; Hardware system; Logic elements; Moving objects; Number of clock cycles; Optimal design; Tracking algorithm; Tracking moving objects, Design; Optimal systems; Tracking (position), Algorithms}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867924563&doi=10.1109\%2fICIAS.2012.6306112&partnerID=40&md5=8f002e482d2aeb8312347a4747bdf773}, abstract = {This paper presents an optimal design and implementation of hardware system units for tracking moving objects on FPGA. Designs outline dataflow between different frequency domains using pipelining and FIFOs as buffers. The system implements a large amount of operations in order to apply a tracking algorithm called Adaptive Hybrid Difference. Two core units were built to implement the algorithm on FPGA, the adaptive threshold unit and the binary image builder unit. By implementing the proposed design with pipelining and parallelism, the number of clock cycles required fo calculate the adaptive threshold over 30 frames has reduced from 23 {\~A}? cycles to 4.3 {\~A}? cycles. Additionally, optimal logic elements utilization has been achieved through the design. {\^A}{\copyright} 2011 IEEE.}, author = {Elkhatib, L. N. and Hussin, F. A. and Xia, L. and Sebastian, P.}, isbn = {9781457719677} }