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In the current iteration of the software, and with today's multi-core prossesors, tasks are highly parralelisable. Feature tracking and trajectory analysis can be performed on multiple video sequences at a time, typically cut up into 20 minute or 1 hour segments, in parralel on a single mid-to-high-performance machine, or on a computer cluster. With parrallel processing of video sequences on a single computer, memory becomes the main bottleneck; 32 GB or more of memory is highly recommended on a multi-core machine to take full advantage of up to 8 threads. Alternatively, the large majority of calculation tasks can be parrallelised at the observation level as they are independant events.  Feature tracking is written in C++ for performance, while the majority of  trajectory analysis is written in Python for extensibility. Where possible, expensive trajectory  analysis calculations make use of Python wrappers for pre-compiled computation libraries.