Search Results - "Burghardt, Tilo"

Deep dive into KABR: a dataset for understanding ungulate behavior from in-situ drone video.

Authors: Kholiavchenko, Maksim Kline, Jenna Kukushkin, Maksim et al.

Source: Multimedia Tools & Applications; Jun2025, Vol. 84 Issue 21, p24563-24582, 20p

WildDrone: autonomous drone technology for monitoring wildlife populations.

Authors: Lundquist, Ulrik Pagh Schultz Afridi, Saadia Berthelot, Clément et al.

Source: Frontiers in Robotics & AI; 2026, p1-25, 25p

Dynamic Curriculum Learning for Great Ape Detection in the Wild.

Authors: Yang, Xinyu Burghardt, Tilo Mirmehdi, Majid

Source: International Journal of Computer Vision; May2023, Vol. 131 Issue 5, p1163-1181, 19p

Holstein-Friesian re-identification using multiple cameras and self-supervision on a working farm.

Authors: Yu, Phoenix Burghardt, Tilo Dowsey, Andrew W. et al.

Source: Computers & Electronics in Agriculture; Oct2025:Part B, Vol. 237, pN.PAG-N.PAG, 1p

Energy expenditure estimation using visual and inertial sensors.

Authors: Tao, Lili Burghardt, Tilo Mirmehdi, Majid et al.

Source: IET Computer Vision (Wiley-Blackwell). 2018, Vol. 12 Issue 1, p36-47. 12p.

Subjects: Energy consumption, Data fusion (Statistics), Regression analysis, Physical activity measurement, Accelerometry

Automated Visual Fin Identification of Individual Great White Sharks.

Authors: Hughes, Benjamin Burghardt, Tilo

Source: International Journal of Computer Vision; May2017, Vol. 122 Issue 3, p542-557, 16p

Correspondence, Matching and Recognition.

Authors: Burghardt, Tilo Damen, Dima Mayol-Cuevas, Walterio et al.

Source: International Journal of Computer Vision; Jul2015, Vol. 113 Issue 3, p161-162, 2p

Universal bovine identification via depth data and deep metric learning.

Authors: Sharma, Asheesh Randewich, Lucy Andrew, William et al.

Source: Computers & Electronics in Agriculture; Feb2025, Vol. 229, pN.PAG-N.PAG, 1p

Multiple human tracking in RGB-depth data: a survey.

Authors: Camplani, Massimo Paiement, Adeline Mirmehdi, Majid et al.

Source: IET Computer Vision (Wiley-Blackwell); Jun2017, Vol. 11 Issue 4, p265-285, 21p

A Review On Animal Detection Using Different Detection Techniques.

Authors: Sowmya, M. Balasubramanian, M. Vaidehi, K.

Source: Turkish Online Journal of Qualitative Inquiry. 2021, Vol. 12 Issue 7, p8249-8254. 6p.

Subject Terms: *Machine learning, Deep learning, Object recognition (Computer vision), Computer vision, Animal behavior, Visual fields

Person Re-ID by Fusion of Video Silhouettes and Wearable Signals for Home Monitoring Applications †.

Authors: Masullo, Alessandro Burghardt, Tilo Damen, Dima et al.

Source: Sensors (14248220). May2020, Vol. 20 Issue 9, p2576. 1p.

Visual identification of individual Holstein-Friesian cattle via deep metric learning.

Authors: Andrew, William Gao, Jing Mullan, Siobhan et al.

Source: Computers & Electronics in Agriculture; Jun2021, Vol. 185, pN.PAG-N.PAG, 1p