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| 2. |
- Ardö, Håkan, et al.
(författare)
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Reduced Search Space for Rapid Bicycle Detection
- 2013
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Ingår i: [Host publication title missing]. - : SciTePress - Science and and Technology Publications.
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Konferensbidrag (refereegranskat)abstract
- This paper describes a solution to the application of rapid detection of bicycles in low resolution video. In particular, the application addressed is from video recorded in a live environment. The future aim from the results in this paper is to investigate a full year of video data. Hence, processing speed is of great concern. The proposed solution involves the use of an object detector and a search space reduction method based on prior knowledge regarding the application at hand. The method using prior knowledge utilizes random sample consensus, and additional statistical analysis on detection outputs, in order to define a reduced search space. It is experimentally shown that, in the application addressed, it is possible to reduce the full search space by 62% with the proposed methodology. This approach, which employs a full detector in combination with the design of a simple and fast model that can capture prior knowledge for a specific application, leads to a reduced search space and thereby a significantly improved processing speed.
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| 3. |
- Ardö, Håkan, et al.
(författare)
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Superpixel based road user tracker
- 2014
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Abstract A superpixel based tracker is tested on the two Tracking sequences from PDTV [7], Minsk and Sherbrooke. It detects all vehicles from the Minsk dataset although a few of them are splitted. The pedestrians are too small and thus all missed. The results for the Sherbrooke are not as good, especially in the areas far way from the camera where the intersection s viewed at a low angle. Also the sign in the foreground causes misses.
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| 4. |
- Laureshyn, Aliaksei
(författare)
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Application of automated video analysis to road user behaviour
- 2010
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- The successful planning, design and management of a traffic system is impossible without knowledge of how the traffic environment affects the behaviour of road users and how the behaviour is related to the main qualities of the traffic system (e.g. safety, efficiency). Automated video analysis is a promising tool for traffic behaviour research in that it enables collection of micro-level behaviour data for large populations of road users and provides a detailed description of their motion. This thesis describes the tests done with an automated video analysis system developed at Lund University. The system was used in two large scale studies with the main task of detecting the presence of road users of a particular type. Accuracy of position and speed estimates were tested in a study specially designed for that purpose. The thesis also elaborates on the problem of relating the behaviour of road users to safety and proposes organising all the elementary events in traffic (defined here as encounters between two road users) into a severity hierarchy. The process of an encounter is described with a set of continuous safety indicators that can handle the various approach angles and transfer between being and not being on a collision course. When an objective measure for an encounter severity is found, the severity hierarchies may be used not only for describing safety but also for studying the balance between safety and other qualities valued by road users.
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| 5. |
- Laureshyn, Aliaksei, et al.
(författare)
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Evaluation of traffic safety, based on micro-level behavioural data: theoretical framework and first implementation.
- 2010
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Ingår i: Accident Analysis and Prevention. - : Elsevier BV. - 1879-2057 .- 0001-4575. ; 42:6, s. 1637-1646
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Tidskriftsartikel (refereegranskat)abstract
- A traffic encounter between individual road users is a process of continuous interplay over time and space and may be seen as an elementary event with the potential to develop into an accident. This paper proposes a framework for organising all traffic encounters into a severity hierarchy based on some operational severity measure. A severity hierarchy provides a description of the safety situation and trade-off between safety and efficiency in the traffic system. As a first approach to study the encounter process, a set of indicators is proposed to describe an encounter. These indicators allow for a continuous description even if the relationship between the road users changes during the process (e.g., when they are on a collision course or leave it). Automated video analysis is suggested as a tool that will allow data collection for validation of the proposed theories.
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| 6. |
- Sakshaug, Lisa, et al.
(författare)
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Cyclists in roundabouts -- Different design solutions.
- 2010
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Ingår i: Accident Analysis and Prevention. - : Elsevier BV. - 1879-2057 .- 0001-4575. ; 42:4, s. 1338-1351
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Tidskriftsartikel (refereegranskat)abstract
- Whether the safest roundabout design for cyclists is to separate cycle crossings or integrate cyclists with motorists is an extensively discussed issue. Studies using accident statistics indicate that a separated cycle crossing is the safest for high motor vehicle volumes. However, the results have not been satisfyingly explained. This article combines quantitative and qualitative methods in traffic conflict, interaction and behavioural studies to find out how interactions and conflicts differ between the two roundabout designs. Automated video detection is used as one of the methods and its performance is evaluated. The integrated roundabout turns out to be more complex with a higher number of serious conflicts and interaction types. The most dangerous situations in the integrated roundabout seem to come about when a motorist enters the roundabout while a cyclist is circulating and when they are both circulating in parallel and the motorist exits. The yielding rules are more ambiguous in the separated roundabout, contributing to a lower yielding rate to cyclists and a lower trust in the other road user's willingness to yield. Situations in the separated roundabout with the lowest yielding rate to cyclists occur when the motorist exits the roundabout at the same time as cyclists are riding in the circulating direction and hence coming from the right. However, most of the accidents in separated roundabouts occur while cyclists are riding against the circulating direction, both when motorists enter and exit the roundabouts.
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| 7. |
- Saunier, Nicolas, et al.
(författare)
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A Public Video Dataset for Road Transportation Applications
- 2014
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Konferensbidrag (refereegranskat)abstract
- Video data and the tools for automated analysis have a great potential to be used in road traffic research, particularly road safety. In this project a video dataset is built and made public so that researchers can evaluate their algorithms on it. The dataset focuses on the traffic research applications (data from real research projects) and provides recordings of the traffic scenes, meta-data, camera calibration, ground truth, protocols for comparing algorithms and software tools and libraries for reading/presenting the data. To the authors’ knowledge, this public dataset is the first of its kind. With the proposed dataset, researchers get access to a large variety of recordings representing different traffic, weather and lighting conditions to evaluate and compare different tools and applications. As a consequence, discussions between computer vision and transportation researchers are expected to increase, contributing to more collaborations and better tools, more accurate and user-friendly, to obtain automatically rich traffic data from video.
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| 8. |
- Svensson, Åse, et al.
(författare)
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Collection of microlevel Safety and efficiency Indicators with Automated Video Analysis
- 2011
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Konferensbidrag (refereegranskat)abstract
- This paper revises the theoretical grounds for relation of the micro-level behaviour indicators to the safety and efficiency (level-of service) of the local traffic system. Automated video analysis is suggested as a tool for collection of the individual data about road users driving trajectories and speeds and interaction with other road users. The authors describe the current state of the video analysis system developed at Lund University, Sweden, and illustrate its performance as a watch-dog for the interaction situations that can be further used for safety and level-of-service analysis.
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