Characterising pedestrian detection on a heterogeneous platform

Calum Grahame Blair, Neil Robertson, Danny Hume

Research output: Chapter in Book/Report/Conference proceedingConference contribution


A heterogeneous architecture offers several advantages
when designing an image processing system with real-time
constraints. We describe a platform containing a FPGA, GPU
and CPU and analyse the processing operations required in
a pedestrian detection algorithm (the Histogram of Oriented
Gradients detector) and show that real-time detection using
single and multiple accelerators with runtime switching between
several architectures is possible. When tested in a system
which incorporates communication overheads, the performance
of a heterogeneous processing system is comparable to that
of a single-accelerator system, with the limiting factor being
communications delays
Original languageEnglish
Title of host publicationProceedings of IEEE/RSJ Int. Conf. Intelligent Robots and Systems Workshops (First Workshop on Smart Cameras for Robotic Applications)
Publication statusPublished - Oct 2012


Dive into the research topics of 'Characterising pedestrian detection on a heterogeneous platform'. Together they form a unique fingerprint.

Cite this