QMCVSep 25, 2014

Ctrax extensions for tracking in difficult lighting conditions

arXiv:1409.7272v18 citations
Originality Synthesis-oriented
AI Analysis

This work addresses a specific problem for researchers using Ctrax for animal tracking, particularly in labs with challenging lighting, but it is incremental as it builds on existing software.

The researchers tackled the problem of tracking animals in difficult lighting conditions with strong shadows or recurring changes, which Ctrax software was not designed to handle, and developed extensions that enabled good tracking accuracy in three types of such conditions in their lab.

The fly tracking software Ctrax by Branson et al. is popular for positional tracking of animals both within and beyond the fly community. Ctrax was not designed to handle tracking in difficult lighting conditions with strong shadows or recurring "on"/"off" changes in lighting - a condition that will likely become increasingly common due to the advent of red-shifted channelrhodopsin. We describe Ctrax extensions we developed that address this problem. The extensions enabled good tracking accuracy in three types of difficult lighting conditions in our lab. Our technique handling shadows relies on "single animal tracking"; the other techniques should be widely applicable.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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