A new detection algorithm for alien intrusion on highway

J Guo, H Lou, H Chen, H Liu, J Gu, L Bi, X Duan - Scientific reports, 2023 - nature.com
In recent years, highway accidents occur frequently, the main reason is that there is always
foreign body invasion on the highway, which makes people unable to respond to …

A review of object tracking methods: From general field to autonomous vehicles

J Cao, H Zhang, L Jin, J Lv, G Hou, C Zhang - Neurocomputing, 2024 - Elsevier
Object tracking is a key technology in the field of intelligent vehicle environmental
perception. Accurate and efficient object tracking technologies provide autonomous vehicles …

MSA-MOT: Multi-stage association for 3D multimodality multi-object tracking

Z Zhu, J Nie, H Wu, Z He, M Gao - Sensors, 2022 - mdpi.com
Three-dimensional multimodality multi-object tracking has attracted great attention due to
the use of complementary information. However, such a framework generally adopts a one …

Exploring the State-of-the-Art in Multi-Object Tracking: A Comprehensive Survey, Evaluation, Challenges, and Future Directions

C Du, C Lin, R Jin, B Chai, Y Yao, S Su - Multimedia Tools and …, 2024 - Springer
Multiple object tracking (MOT), as a typical application scenario of computer vision, has
attracted significant attention from both academic and industrial communities. With its rapid …

SKIP: Accurate Fall Detection Based on Skeleton Keypoint Association and Critical Feature Perception

C Du, R Jin, H Tang, Q Jiang, Z He - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
As deep learning technology advances, human fall detection (HFD) leveraging
convolutional neural networks (CNNs) has recently garnered significant interest within the …