PERFORMANCE EVALUTION OF VIDEO SURVEILLANCE USING METE, MELT AND NIDC TECHNIQUE

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic

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VOLUME 10 , ISSUE 5 (December 2017) > List of articles

Special Issue

PERFORMANCE EVALUTION OF VIDEO SURVEILLANCE USING METE, MELT AND NIDC TECHNIQUE

M Anto Bennet * / R Srinath / D Abirami / S Thilagavathi / S Soundarya / R Yuvarani

Keywords : Multi-TargetTrack-Before-Detect(MT-TBD), Single Particle Tracking (SPT), Multiple Extended Target Lost Track Ratio(MELT).

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 10, Issue 5, Pages 25-45, DOI: https://doi.org/10.21307/ijssis-2017-234

License : (CC BY-NC-ND 4.0)

Received Date : 27-May-2017 / Accepted: 15-June-2017 / Published Online: 01-September-2017

ARTICLE

ABSTRACT

To evaluate multi-target video tracking results, one needs to quantify the accuracy of the estimated target-size and the Cardinality error as the well as measure the frequency of occurrence of ID changes. By surveying existing multi-target tracking performance scores and, after discussing their limitations, the work proposes three parameter-independent measures for evaluating multi target video tracking. The measures consider target-size variations, combine accuracy and cardinality errors, quantify long-term tracking accuracy at different accuracy levels, and evaluate ID changes relative to the duration of the track in which they occur. The work conduct an extensive experimental validation of the proposed measures by comparing them with existing ones and by evaluating four state-of-the-art trackers on challenging real world Publicly-available data sets. The software implementing the proposed measures is made available online to facilitate their use by the research community.

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REFERENCES

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