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Since version 4, SwisTrack's pipeline is built by the user from components which interact with each other and pass data through data channels. There are six data channels: input, grayscale image, color image, binary image, particles and tracks. Individual components work only with some of the data
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In the typical pipeline, the image is transformed into a binary image, there objects are detected as blobs which are converted into particles, and the particles form tracks by comparing consecutive frames. Blob is a set of connected pixels with the same value.
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as input source. It has mainly been developed by
Distributed Intelligent Systems and Algorithms Laboratory (DISAL) and the LPM Vision Group at
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channels. Each data channel that the component works with can be in one of the three modes: read, write and edit (i.e. both read and write).
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Correll, Nikolaus; Sempo, Gregory; De
Meneses, Yuri Lopez; Halloy, Jose; Deneubourg, Jean-Louis; Martinoli, Alcherio (2006).
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Lochmatter, Thomas; Roduit, Pierre; Cianci, Chris; Correll, Nikolaus; Jacot, Jacques; Martinoli, Alcherio (2008).
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SwisTrack outputs data either by writing into a tab-separated file or by using the
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329:"SwisTrack: A Tracking Tool for Multi-Unit Robotic and Biological Systems"
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2006 IEEE/RSJ International
Conference on Intelligent Robots and Systems
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2008 IEEE/RSJ International
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protocol. The latter also allows the remote controlling.
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463:Free software programmed in C++
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405:free and open-source software
383:Tracking of corn borer larvae
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184:in Lausanne, Switzerland.
172:and other objects using a
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204:and networking. It uses
192:SwisTrack is written in
368:SwisTrack documentation
133:Adaptive Public License
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228:cameras, as well as
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166:open-source
137:Open Source
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255:References
196:using the
85:Written in
249:NMEA 0183
198:wxWidgets
162:SwisTrack
149:swistrack
28:SwisTrack
18:Swistrack
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144:Website
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Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.
