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Title	Using specialised cyclist detection software to count cyclists and determine cyclist travel speed from video
Authors	Ponte G, Szpak ZL, Woolley JE, Searson DJ
Year	2014
Type	Conference Paper
Abstract	The Australian Centre for Visual Technologies (ACVT) developed software for post-processing video footage that is capable of detecting, counting and assessing the level of conspicuity of cyclists. The initial version of the software, on average, correctly identified and tracked 69% of cyclists in footage of busy intersections and roundabouts when first trialled. A number of additional trials were conducted to extend the features of the software. The second trial was undertaken to explore the possibility of automating speed detection. The video detection software correlated well with the true cyclist counts and speeds measured by GPS. The third trial involved recording cyclists travelling over specialised bicycle detection counters and measuring their speeds with a laser gun. This enabled a comparison between the counts provided by the video detection software and the counts provided by the closed induction loop counters as well as a comparison of speeds. The final trial involved four real world sites at which video recordings were taken and analysed by an improved version of the software and compared to human observations. The improved version of the software was able to detect 89 to 98% of cyclists. The results indicated good correlation with human observations and demonstrated the feasibility of using readily obtainable video footage to collect objective bicycle data. This paper briefly summarises the development and improvement of the software, details the methods used to obtain the experimental data, present the results and discusses potential future applications of the software and improvements in detection accuracy.
Conference Name	Australasian Road Safety Research, Policing and Education Conference
Conference Abbreviation	RSR
Conference Location	Melbourne, Victoria
Conference Date	12-14 November 2014

Reference

Ponte G, Szpak ZL, Woolley JE, Searson DJ (2014). Using specialised cyclist detection software to count cyclists and determine cyclist travel speed from video. Australasian Road Safety Research, Policing and Education Conference, Melbourne, Victoria, 12-14 November 2014.