Target-Aware Tracking with Long-term Context Attention [PDF]
AAAI Conference on Artificial Intelligence, 2023 Most deep trackers still follow the guidance of the siamese paradigms and use a template that contains only the target without any contextual information, which makes it difficult for the tracker to cope with large appearance changes, rapid target ...
Kaijie He +4 more
semanticscholar +1 more source
Deep Learning-Based Ground Target Detection and Tracking for Aerial Photography from UAVs
Applied Sciences, 2021 Target detection and tracking can be widely used in military and civilian scenarios. Unmanned aerial vehicles (UAVs) have high maneuverability and strong concealment, thus they are very suitable for using as a platform for ground target detection and ...
Kaipeng Wang, Zhijun Meng, Zhe Wu
doaj +1 more source
Multi-Target State and Extent Estimation for High Resolution Automotive Sensor Detections
Sensors, 2022 This paper discusses the perception and tracking of individual as well as group targets as applied to multi-lane public traffic. Target tracking problem is formulated as a two hierarchical layer problem—on the first layer, a multi-target tracking problem
Andinet Hunde
doaj +1 more source
UAV Target Tracking in Urban Environments Using Deep Reinforcement Learning [PDF]
International Conference on Unmanned Aircraft Systems, 2020 Persistent target tracking in urban environments using UAV is a difficult task due to the limited field of view, visibility obstruction from obstacles and uncertain target motion.
Sarthak Bhagat, P. Sujit
semanticscholar +1 more source
A Dynamic and Adaptive Selection Radar Tracking Method Based on Information Entropy
Leida xuebao, 2017 Nowadays, the battlefield environment has become much more complex and variable. This paper presents a quantitative method and lower bound for the amount of target information acquired from multiple radar observations to adaptively and dynamically ...
Ge Jianjun, Li Chunxia
doaj +1 more source
Multi-Target Tracking and Detection Based on Hybrid Filter Algorithm
IEEE Access, 2020 Wireless sensor network is a fast-growing research field. In recent years, it has attracted considerable research attention. The generation of large-scale sensor networks interconnected hundreds of sensor nodes, opening up some technical challenges and ...
Xianzhen Xu, Zhiyu Yuan, Yanping Wang
doaj +1 more source
A scale-adaptive target tracking method for coal mine underground based on cloud-edge collaboration
Gong-kuang zidonghua, 2023 The moving targets in coal mine underground monitoring videos often have significant scale changes and deformations. This results in low accuracy of target tracking algorithms based on computer vision.
MU Qi, HAN Jiajia, ZHANG Han, LI Zhanli
doaj +1 more source
Linear multi-target IPF algorithm for automatic tracking [PDF]
Scientific Technical Review, 2016 The radar tracking applications perform single and multiple object detections from noise-corrupted signal. These detections are used as measurements for target tracking.
Radosavljević Zvonko +2 more
doaj
An Improved Q-Learning-Based Sensor-Scheduling Algorithm for Multi-Target Tracking
Sensors, 2022 Target tracking is an essential issue in wireless sensor networks (WSNs). Compared with single-target tracking, how to guarantee the performance of multi-target tracking is more challenging because the system needs to balance the tracking resource for ...
Zhiyi Qu +5 more
doaj +1 more source
A Review of Target Tracking Algorithm Based on Deep Neural Network [PDF]
Hangkong bingqiTarget tracking is to predict the state of the current target according to the target context information of video sequence. Deep learning is gradually widely used in the field of target tracking.
Guo Fan, Lu Xuanyu, Li Jiayi, Wang Hongmei
doaj +1 more source