Porth Ymchwil

Combination of Object Tracking and Object Detection for Animal Recognition

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Cyfraniad i Gynhadledd › adolygiad gan gymheiriaid

StandardStandard

Combination of Object Tracking and Object Detection for Animal Recognition. / Williams, Francis; Kuncheva, Ludmila; Rodriguez, Juan et al.
Proc. of the Fifth IEEE International Conference on Image Processing, Applications and Systems (IPAS). IEEE, 2022.

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Cyfraniad i Gynhadledd › adolygiad gan gymheiriaid

HarvardHarvard

Williams, F, Kuncheva, L, Rodriguez, J & Hennessey, S 2022, Combination of Object Tracking and Object Detection for Animal Recognition. yn Proc. of the Fifth IEEE International Conference on Image Processing, Applications and Systems (IPAS). IEEE. https://doi.org/10.1109/IPAS55744.2022.10053017

APA

Williams, F., Kuncheva, L., Rodriguez, J., & Hennessey, S. (2022). Combination of Object Tracking and Object Detection for Animal Recognition. Yn Proc. of the Fifth IEEE International Conference on Image Processing, Applications and Systems (IPAS) IEEE. https://doi.org/10.1109/IPAS55744.2022.10053017

CBE

Williams F, Kuncheva L, Rodriguez J, Hennessey S. 2022. Combination of Object Tracking and Object Detection for Animal Recognition. Yn Proc. of the Fifth IEEE International Conference on Image Processing, Applications and Systems (IPAS). IEEE. https://doi.org/10.1109/IPAS55744.2022.10053017

MLA

Williams, Francis et al. "Combination of Object Tracking and Object Detection for Animal Recognition". Proc. of the Fifth IEEE International Conference on Image Processing, Applications and Systems (IPAS). IEEE. 2022. https://doi.org/10.1109/IPAS55744.2022.10053017

VancouverVancouver

Williams F, Kuncheva L, Rodriguez J, Hennessey S. Combination of Object Tracking and Object Detection for Animal Recognition. Yn Proc. of the Fifth IEEE International Conference on Image Processing, Applications and Systems (IPAS). IEEE. 2022 doi: 10.1109/IPAS55744.2022.10053017

Author

Williams, Francis ; Kuncheva, Ludmila ; Rodriguez, Juan et al. / Combination of Object Tracking and Object Detection for Animal Recognition. Proc. of the Fifth IEEE International Conference on Image Processing, Applications and Systems (IPAS). IEEE, 2022.

RIS

TY - GEN

T1 - Combination of Object Tracking and Object Detection for Animal Recognition

AU - Williams, Francis

AU - Kuncheva, Ludmila

AU - Rodriguez, Juan

AU - Hennessey, Samuel

PY - 2022/12/6

Y1 - 2022/12/6

N2 - While methods for object detection and tracking are well-developed for the purposes of human and vehicle identification, animal identification and re-identification from images and video is lagging behind. There is no clarity as to which object detection methods will work well on animal data. Here we compare two state-of-the art methods which output bounding boxes: the MMDetector and the UniTrack video tracker. Both methods were chosen for their high ranking on benchmark data sets. Using a bespoke pre-annotated database of five videos, we calculated the Average Precision (AP) of the outputs from the two methods. We propose a combination method to fuse the outputs of MMDetection and UniTrack and demonstrate that the proposed method is capable of outperforming both.

AB - While methods for object detection and tracking are well-developed for the purposes of human and vehicle identification, animal identification and re-identification from images and video is lagging behind. There is no clarity as to which object detection methods will work well on animal data. Here we compare two state-of-the art methods which output bounding boxes: the MMDetector and the UniTrack video tracker. Both methods were chosen for their high ranking on benchmark data sets. Using a bespoke pre-annotated database of five videos, we calculated the Average Precision (AP) of the outputs from the two methods. We propose a combination method to fuse the outputs of MMDetection and UniTrack and demonstrate that the proposed method is capable of outperforming both.

KW - Animal identification

KW - Bounding boxes

KW - Object tracking

KW - Object detection

U2 - 10.1109/IPAS55744.2022.10053017

DO - 10.1109/IPAS55744.2022.10053017

M3 - Conference contribution

BT - Proc. of the Fifth IEEE International Conference on Image Processing, Applications and Systems (IPAS)

PB - IEEE

ER -