In recent years, the field of visual tracking has made significant progress with the application of large-scale training datasets. These datasets have supported the development of sophisticated algorithms, enhancing the accuracy and stability of visual object tracking. However, most research has primarily focused on favorable illumination circumstances, neglecting the challenges of tracking in low-ligh environments. In low-light scenes, lighting may change dramatically, targets may lack distinct texture features, and in some scenarios, targets may not be directly observable.

Dataset Files

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[1] Pengzhi Zhong, Xiaoyu Guo, Defeng Huang, Xiaojun Peng, Yian Li, Qijun Zhao, Shuiwang Li, "LLOT", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/pd6f-am71. Accessed: Jan. 19, 2025.
@data{pd6f-am71-24,
doi = {10.21227/pd6f-am71},
url = {http://dx.doi.org/10.21227/pd6f-am71},
author = {Pengzhi Zhong; Xiaoyu Guo; Defeng Huang; Xiaojun Peng; Yian Li; Qijun Zhao; Shuiwang Li },
publisher = {IEEE Dataport},
title = {LLOT},
year = {2024} }
TY - DATA
T1 - LLOT
AU - Pengzhi Zhong; Xiaoyu Guo; Defeng Huang; Xiaojun Peng; Yian Li; Qijun Zhao; Shuiwang Li
PY - 2024
PB - IEEE Dataport
UR - 10.21227/pd6f-am71
ER -
Pengzhi Zhong, Xiaoyu Guo, Defeng Huang, Xiaojun Peng, Yian Li, Qijun Zhao, Shuiwang Li. (2024). LLOT. IEEE Dataport. http://dx.doi.org/10.21227/pd6f-am71
Pengzhi Zhong, Xiaoyu Guo, Defeng Huang, Xiaojun Peng, Yian Li, Qijun Zhao, Shuiwang Li, 2024. LLOT. Available at: http://dx.doi.org/10.21227/pd6f-am71.
Pengzhi Zhong, Xiaoyu Guo, Defeng Huang, Xiaojun Peng, Yian Li, Qijun Zhao, Shuiwang Li. (2024). "LLOT." Web.
1. Pengzhi Zhong, Xiaoyu Guo, Defeng Huang, Xiaojun Peng, Yian Li, Qijun Zhao, Shuiwang Li. LLOT [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/pd6f-am71
Pengzhi Zhong, Xiaoyu Guo, Defeng Huang, Xiaojun Peng, Yian Li, Qijun Zhao, Shuiwang Li. "LLOT." doi: 10.21227/pd6f-am71