- Authors: Srdjan T. Mitrovic, Boban P. Bondzulic, Milenko S. Andric, Zarko P. Barbaric
- Source: Elektronika ir elektrotechnika-Electronics and Electrical Engineering Volume: 20
Issue: 2 Pages: 52-57
Published: 2014. DOI: 10.5755/j01.eee.20.2.3788
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- Abstract: Gray level intensity distribution on thermal infrared images is estimated in this research. General Pareto distribution describes grey level distribution better than other considered statistics. Error of passive ranging distance estimation based on intensity method is too large at short distance, because grey level of imaging sensor is saturated. Suggested modification has a great application in compensation of the effect of sensor saturation. Experiment on real saturated infrared sequence demonstrates that distance estimation error of suggested approach increases around three times slower compared to the conventional intensity based approach.
- Authors: Boban P. Bondzulic, Srdjan T. Mitrovic, Zarko P. Barbaric, Milenko S. Andric
- Source: Journal of Electrical Engineering-Elektrotechnicky Casopis Volume: 64 Issue: 5 Pages: 305-310 Published: 2013. DOI: 10.2478/jee-2013-0044
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- Abstract: Three monocular passive ranging methods are analyzed and tested on the real infrared sequences. The first method exploits scale changes of an object in successive frames, while other two use Beer-Lambert’s Law. Ranging methods are evaluated by comparing with simultaneously obtained reference data at the test site. Research is addressed on scenarios where multiple sensor views or active measurements are not possible. The results show that these methods for range estimation can provide the fidelity required for object tracking. Maximum values of relative distance estimation errors in near-ideal conditions are less than 8%.
- Authors: Zarko P. Barbaric, Boban P. Bondzulic, Srdjan T. Mitrovic
- Source: Electronics Letters Volume: 48 Issue: 18 Pages: 1122-1123 Published: 2012. DOI: 10.1049/el.2012.0632
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- Abstract: Proposed are two passive ranging approaches using a single camera, based on intensity and contrast measurements. According to the Beer-Lambert law and known atmosphere extinction coefficient and initial range, the range to a moving object is estimated. Using these approaches in a real infrared surveillance sequence, better results are obtained than with methods which use image size measurements. The relative error of 3.2% for contrast and 2.3% for intensity features are obtained. Results indicate that range estimation is possible to a fidelity required for object tracking.