Proceedings Article10.1109/ITSC.2000.881014
Counting bicycles using computer vision
Scott Rogers,Nikolaos Papanikolopoulos +1 more
- 01 Jan 2000
- pp 33-38
20
TL;DR: A system for monitoring bicycle activity in sequences of gray scale images acquired by a stationary camera suitable for use in applications that aim to increase the efficiency and safety of existing traffic systems.
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Abstract: This paper describes a system for monitoring bicycle activity in sequences of gray scale images acquired by a stationary camera. The system is suitable for use in applications that aim to increase the efficiency and safety of existing traffic systems. One such application is to determine usage and congestion of bicycle path. The output of the system is a count of the number of bicycles detected in the image sequence. The system is model-based in the sense that it uses a simple model of two circular objects separated by a relatively known distance. Our system uses four levels of abstraction: raw images, blobs, edge images, and the bicycle model. The system was implemented on a dual Pentium computer equipped with a Matrox imaging board and achieved a peak performance of 8 frames per second. Experimental results based on outdoor scenes have shown promising results for a variety of weather conditions.
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Citations
Fast Detection of Multiple Objects in Traffic Scenes With a Common Detection Framework
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Bicycle detection using pedaling movement by spatiotemporal Gabor filtering
Kazuyuki Takahashi,Yasutaka Kuriya,Takashi Morie +2 more
- 01 Nov 2010
TL;DR: An algorithm for detecting bicycles on the road from a sequence of images acquired by a stationary video camera is proposed, which includes shape-based object detection using HOG and SVM and relative motion detection for leg movements in bicycle pedaling.
An effective crossing cyclist detection on a moving vehicle
Tong Li,Xianbin Cao,Yanwu Xu +2 more
- 07 Jul 2010
TL;DR: A more effective feature extraction method (i.e., HOG-LP) is proposed to overcome the drawbacks of general HOG feature extraction for crossing cyclist detection and the experimental results tested on urban traffic videos show the effectiveness of the proposed method.
30
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A robust video-based bicycle counting system
Scott Rogers,Nikolaos Papanikolopoulos +1 more
- 01 Jan 1999
TL;DR: This paper describes a system for counting bicycle activity in sequences of gray scale images acquired by a stationary camera suitable for use in applications that aim to increase the efficiency and safety of existing traffic systems.
7
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