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CC BY-NC-ND V4.0, Open Access
Journal article
An infrared multi-object tracking method for automatic circadian behavior analysis of adult Tuta absoluta
Smart agricultural technology, Vol.12, 101624
2025
Abstract
Adult Tuta absoluta tracking is a crucial prerequisite to automatically analyzing their circadian behavior in a cage-rearing environment. However, individual nonlinear motions and occlusions pose significant challenges to the effective tracking of multiple insects. In this study, an infrared multi-object tracking method (YOLOsingle bondOCSORT) is proposed to mitigate these issues for circadian behavior analysis of adult Tuta absoluta. In the proposed approach, an Haar wavelet down-sampling module is integrated into the backbone of YOLO11 to enhance feature extraction under complex motion and occlusion conditions. Additionally, a multi-scale spatial and attention aggregation module is incorporated to preserve the detailed features of small objects by fusing spatial and channel information, while also enhancing the attention to target-relevant channels in the aggregation path. Lastly, a new detection head is added to the YOLO11 model to further boost detection performance of small adult Tuta absoluta. In the multi-object association stage, a GIoU-based association strategy is integrated into the OCSORT algorithm to improve the matching accuracy in complex scenarios such as occlusion and dense environments. Experimental results show that the proposed method achieves increases in all tracking metrics, with HOTA improving by 3.3%, MOTA by 8.9%, MOTP by 2.3%, and IDF1 by 3.0%, compared with the original model in the target tracking phase. Moreover, except a few false positives, no missed detections are observed under different density conditions. These results demonstrate that the proposed YOLOsingle bondOCSORT method has robust performance in the multi-object tracking of adult Tuta absoluta, offering technical support for contactless behavior monitoring of small insects.
Details
- Title
- An infrared multi-object tracking method for automatic circadian behavior analysis of adult Tuta absoluta
- Authors/Creators
- Tengpeng Cui - Zhongkai University of Agriculture and EngineeringWenyong Li - Research Center of Information Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, ChinaShuangyin Liu - Zhongkai University of Agriculture and EngineeringCheng Qu - Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, ChinaChuanheng Sun - Research Center of Information Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, ChinaXinting Yang - Research Center of Information Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, ChinaFerdous Sohel - Murdoch University, School of Information TechnologyWenzheng Li - Research Center of Information Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
- Publication Details
- Smart agricultural technology, Vol.12, 101624
- Publisher
- Elsevier B.V.
- Number of pages
- 15
- Identifiers
- 991005835761507891
- Copyright
- © 2025 The Authors.
- Murdoch Affiliation
- School of Information Technology
- Language
- English
- Resource Type
- Journal article
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