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Updated: Mar 19, 2026

Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies

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Scan path similarity as a function of performance accuracy in multiple object tracking.

Shiva Kamkar¹, Kamyar Bagha¹, Hamid Abrishami Moghaddam²

¹Computer Engineering Department, Khatam University, No. 30, Hakim Azam St., North Shiraz St., Molla Sadra Ave., Tehran 1991633357, Iran.

Vision Research

|March 17, 2026

Summary

This summary is machine-generated.

Scan path similarity in multiple object tracking differs based on performance accuracy. Incorrect tracking shows increasing scan path dissimilarity, while correct tracking maintains constant similarity, offering insights into attentional resource allocation.

Keywords:

Dynamic time warping Eye movements Human performance Multiple object tracking Occlusion Scan path analysis

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Area of Science:

Cognitive Psychology
Human Factors Engineering
Neuroscience

Background:

Simultaneous tracking of multiple moving objects is crucial for understanding human attentional resource allocation.
Scan path analysis provides insights into the strategies employed during dynamic visual tasks.

Purpose of the Study:

To investigate how factors like performance accuracy, set-size, occlusion, target dispersion, and speed influence scan path similarity in multiple object tracking.
To determine if scan paths differ between accurate and inaccurate tracking trials.

Main Methods:

Analysis of scan path similarity during multiple object tracking tasks.
Comparison of scan paths across varying trial-wise performance accuracy, target set-size, occlusion types, target dispersion, and target speed.

Main Results:

Scan path dissimilarity increases over time in incorrect tracking trials but remains constant in correct trials.
Scan paths were more similar for successful performance in set-size 4 compared to set-size 2.
Higher scan path similarity was observed during temporary target occlusion versus non-occluded movement.
Scan path similarity decreased with wider target dispersion and slower target speeds.

Conclusions:

Scan path analysis is a valuable tool for understanding observer strategies in both accurate and inaccurate multiple object tracking.
Attentional strategies dynamically adapt based on tracking performance, target configuration, and environmental factors.