Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):

N. Brändle, A.N. Belbachir, S. Schraml:
"SmartCountplus - Towards Automated Counting and Modelling of Non-Motorised Traffic with a Stand-Alone Sensor Device";
Vortrag: 15th International Conference on urban Planning and Regional Development in the Information Society (REAL CORP 2010), Wien; 18.05.2010 - 20.05.2010; in: "Real Corp 2010", (2010), ISBN: 978-39502139-6-6; S. 1261 - 1266.

We introduce a novel visual counting device being able to automatically discriminate between participants of
non-motorised traffic (pedestrians, bicyclists). The sensor elements (pixels) respond to relative light intensity
changes, thus avoiding conventional imaging and privacy issues usually raised by the public when it comes
to visual surveillance. Three-dimensional depth information is computed with the stereo principle, and the
set of light intensity change events is grouped together with a clustering algorithm to discriminate between
moving objects. A classification algorithm based on descriptive features then identifies indivual participants
of non-motorised traffic. A preliminary evaluation on a dataset with 128 passages shows a classification rate
of 92% for riding cyclists and 100% for pedestrians for 2+1 classification, and 43-96% for 4+1 classification
distinguishing between riding cyclists, pedestrians, walking cyclists, umbrellas and other objects.

Elektronische Version der Publikation:

Erstellt aus der Publikationsdatenbank des AIT Austrian Institute of Technology.