FPGA-based accelerator for object detection: a comprehensive survey

K Zeng, Q Ma, JW Wu, Z Chen, T Shen… - The Journal of …, 2022 - Springer
Object detection is one of the most challenging tasks in computer vision. With the advances
in semiconductor devices and chip technology, hardware accelerators have been widely …

[HTML][HTML] Multi-camera multi-object tracking: a review of current trends and future advances

TI Amosa, P Sebastian, LI Izhar, O Ibrahim, LS Ayinla… - Neurocomputing, 2023 - Elsevier
The nascent applicability of multi-camera tracking (MCT) in numerous real-world
applications makes it a significant computer vision problem. While visual tracking of objects …

[HTML][HTML] Determination of firebrand characteristics using thermal videos

S Prohanov, A Filkov, D Kasymov, M Agafontsev… - Fire, 2020 - mdpi.com
Burning firebrands generated by wildland or prescribed fires may lead to the initiation of spot
fires and fire escapes. At the present time, there are no methods that provide information on …

Leveraging temporal-aware fine-grained features for robust multiple object tracking

H Wu, J Nie, Z Zhu, Z He, M Gao - The Journal of Supercomputing, 2023 - Springer
Existing multi-object trackers mainly apply the tracking-by-detection (TBD) paradigm and
have achieved remarkable success. However, the mainstream methods execute their …

[HTML][HTML] A new intrusion detection and alarm correlation technology based on neural network

Y Liu, L Zhu - EURASIP Journal on Wireless communications and …, 2019 - Springer
With the continuous development of computer networks, the security of the network has
become increasingly prominent. A major threat to network security is the intrusion of …

Adaptive Kalman Filter with power transformation for online multi-object tracking

Y Liu, Y Li, D Xu, Q Yang, W Tao - Multimedia Systems, 2023 - Springer
By introducing a low-score detection box association stage, the full-detection association
can effectively enhance the accuracy and robustness of online multi-object tracking …

Robust object tracking with the inverse relocation strategy

S Sun, Z An, X Jiang, B Zhang, J Zhang - Neural Computing and …, 2019 - Springer
Robust object tracking is a challenging task in multimedia understanding and computer
vision. The traditional tracking algorithms only use the forward tracking information while …

[PDF][PDF] Improvement of firebrand tracking and detection software

DP Kasymov, O Zakharov, MV Agafontsev… - 2019 - vital.lib.tsu.ru
Burning and glowing firebrands generated by wildland and urban fires may lead to the
initiation of spot fnes and the ignition of structures. One of the ways to obtain this infonnation …