Human Body Detection and Geolocalization for UAV Search and Rescue Missions Using Color and Thermal Imagery

By Piotr Rudol, Patrick Doherty. IEEE Aerospace Conference, 2008

316 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/d5accd5598282a7713dbed8581be28e4770f4edd

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In Aerospace Engineering

In Computer Vision and Pattern Recognition

Citations in the corpus

Unmanned Aerial Vehicles for Search and Rescue: A Survey (2023, background): “The paper [88] added a cascade of boosted classiﬁers working with Haar-like features into the fusion of thermal and RGB cameras, by which the accuracy of detection is further improved.”
Thermal cameras and applications: a survey (2013, unknown): “For use on unmanned aerial vehicles, Rudol and Doherty [155] proposed a human detection system that uses a thermal camera to detect warm objects.”
Unmanned Aerial Vehicle for Remote Sensing Applications - A Review (2019, background): “The resolution benefit of the UAV-borne sensor data brought by a low flying altitude still increases the capability of thermal cameras for accurate quantification of small objects such as human [38], fire centers [39], and pipe-leaking detection [40].”
A Fully-Autonomous Aerial Robot for Search and Rescue Applications in Indoor Environments using Learning-Based Techniques (2018, methodology): “The specific techniques from this work, used to detect humans at a high frame rate onboard an autonomous UAV, were described in detail in [41].”
Survey of advances in guidance, navigation, and control of unmanned rotorcraft systems (2012, background): “Target tracking for automatic landing: In Saripalli et al. (2003), such a system is used for landing a helicopter on an artificial helipad (letter H). A vision algorithm is used to detect and recognize the target by comparing the computed moments of inertia with stored ones (obtained offline). The h”
Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges (2018, unknown): “For example, GPS can be integrated with Forward looking infrared (FLIR) sensors and thermal sensors to realize more accurate detection solution [52].”