{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T14:03:31Z","timestamp":1771682611909,"version":"3.50.1"},"reference-count":0,"publisher":"Slovenian Association Informatika","issue":"7","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJCAI"],"abstract":"<jats:p>Disasters pose immense challenges to search and rescue (SAR) operations, where rapid and accurate survivor detection is critical for mission success. This paper presents ThermalTrack, a computationally efficient real-time face detection system specifically designed for thermal imaging in SAR operations usingUAV-mounted FLIR Lepton 3.5 cameras (160\u00d7120 pixel resolution). Our system integrates Histogrambased Adaptive Dynamic Range (HADR) preprocessing with dual detection pathways: Haar Cascade classifiers and Dlib\u2019s HOG-based frontal face detector, enhanced by Kalman filtering for robust multi-frametracking. We systematically optimized detection parameters including scale factors (1.1-1.5) and minimumneighbor values (3-7) to achieve optimal accuracy-speed tradeoffs. Experimental validation across twodistance scenarios shows detection accuracy of 85-92% with processing times of 30-50ms per frame. At50-meter range (aerial operations), the system achieves 92% precision, 84% recall, and 88% F1-score. At10-meter range (ground operations), performance reaches 85% precision, 78% recall, and 81% F1-score.HADR preprocessing improves detection rates by 13 percentage points (from 76% to 89%), while Kalmanfiltering provides stable tracking during brief occlusions and reduces detection jitter. The system demonstrates real-time capability suitable for resource-constrained UAV platforms, processing at 20-33 framesper second while maintaining competitive accuracy compared to computationally intensive CNN-based approaches.<\/jats:p>","DOI":"10.31449\/inf.v50i7.9833","type":"journal-article","created":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T13:16:08Z","timestamp":1771679768000},"source":"Crossref","is-referenced-by-count":0,"title":["ThermalTrack: Efficient Thermal Face Detection with Haar Cascades and Tracking for Search and Rescue"],"prefix":"10.31449","volume":"50","author":[{"given":"Ankita","family":"Nagmote","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anushree","family":"Devarashetty","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shubha","family":"Puthran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"16141","published-online":{"date-parts":[[2026,2,21]]},"container-title":["Informatica"],"original-title":[],"link":[{"URL":"https:\/\/www.informatica.si\/index.php\/informatica\/article\/download\/9833\/6482","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.informatica.si\/index.php\/informatica\/article\/download\/9833\/6482","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T13:16:08Z","timestamp":1771679768000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.informatica.si\/index.php\/informatica\/article\/view\/9833"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,21]]},"references-count":0,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2026,2,21]]}},"URL":"https:\/\/doi.org\/10.31449\/inf.v50i7.9833","relation":{},"ISSN":["1854-3871","0350-5596"],"issn-type":[{"value":"1854-3871","type":"electronic"},{"value":"0350-5596","type":"print"}],"subject":[],"published":{"date-parts":[[2026,2,21]]}}}