Tracking Multiple Ants in a
Colony
Thomas Fasciano, Hoan Nguyen,
Anna Dornhaus, Min C. Shin
Ants
Models for:
• Division of Labor
• Adaptive Networks
• Collective Decision Making
Studying Requires:
• Hours of Video
• Manual Annotation
• Automated Approach Preferred
Challenges
1. Frequent Occlusions with Irregular Motion
2. Very Long Occlusions
Challenges
1. Frequent Occlusions with Irregular Motion
2. Very Long Occlusions
Data Association based Tracking…
Frm 1
2
3
4
5
Detection
Association
6
Data Association based Tracking…
Frm 1
2
3
4
5
6
Frm 1
Stage 1
Detection
Association
2
3
4
5
6
Data Association based Tracking…
Frm 1
2
3
4
5
6
Frm 1
Stage 1
Detection
Association
2
3
4
5
6
Frm 1
n Stages
2
3
4
5
6
… with Irregular Motion Features
Track 1
Track 2
… with Irregular Motion Features
Linear Motion
Model Prediction
Track 1
Track 2
… with Irregular Motion Features
Linear Motion
Model Prediction
Track 1
Correlated Random Walk
Prediction
Track 2
… with Irregular Motion Features
Ant 2
Ant 1
Ant 2
Ant 1
Solving Large Gaps
Run particle filter based tracker
Forward
Backward
Match converging tracklet pairs
Results
GT 1
ID Switch
Track 1
GT 2
68% using Irregular
Motion Features
Fragment
GT
Track 1
Track 2
61% using Irregular Motion +
Tracking Convergence Matching
Thank You
“Tracking Multiple Ants in a Colony”
Poster #38