Results 31 to 40 of about 387,938 (287)

Adaptive Multi-target Tracking Algorithm with Unknown Detection Probability [PDF]

Jisuanji gongcheng, 2017
In order to accurately model the system detection probability in a complex background,a Multi-Target Tracking(MTT) method with unknown detection probability is proposed.The detection probability is modeled by the Time Varying AutoRegressive(TVAR) process.
LIU Jun,YUAN Peiyan,QIU Hao
doaj   +1 more source

Multi-Stage Multi-Scale Local Feature Fusion for Infrared Small Target Detection

Remote Sensing, 2023
The detection of small infrared targets with dense distributions and large-scale variations is an extremely challenging problem. This paper proposes a multi-stage, multi-scale local feature fusion method for infrared small target detection to address ...
Yahui Wang, Yan Tian, Jijun Liu, Yiping Xu   +3 more
doaj   +1 more source

Refined PHD Filter for Multi-Target Tracking under Low Detection Probability

Sensors, 2019
Radar target detection probability will decrease as the target echo signal-to-noise ratio (SNR) decreases, which has an adverse influence on the result of multi-target tracking.
Sen Wang, Qinglong Bao, Zengping Chen
doaj   +1 more source

Deep Occlusion Reasoning for Multi-camera Multi-target Detection [PDF]

2017 IEEE International Conference on Computer Vision (ICCV), 2017
People detection in single 2D images has improved greatly in recent years. However, comparatively little of this progress has percolated into multi-camera multi-people tracking algorithms, whose performance still degrades severely when scenes become very crowded.
Baqué, Pierre, Fleuret, François, Fua, Pascal   +2 more
openaire   +2 more sources

A new type of multi-radar multi-target particle filter tracking before detection algorithm

Dianzi Jishu Yingyong, 2021
Aiming at the problem of target track offset that easily occurs in multi-radar multi-target detection and tracking when the target distance is close, this paper proposes a new type of multi-radar multi-target particle filter tracking before detection ...
Pan Kai, Chen Xiao
doaj   +1 more source

Improved FMCW Radar System for Multi-Target Detection of Human Respiration Vital Sign

Jurnal Elektronika dan Telekomunikasi, 2019
Frequency Modulated Continuous Wave (FMCW) radar system has been developed and applied for various needs. Based on the conventional FMCW radar concept, a large bandwidth is needed to detect small displacements in the chest wall or abdomen related with ...
Hana Pratiwi, Mujib R. Hidayat, A. A. Pramudita, Fiky Y. Suratman   +3 more
doaj   +1 more source

Low-Altitude Target Detection Method Based on Distributed Sensor Networks

IEEE Access, 2022
With the widespread application of low-altitude targets, it is absolutely necessary to monitor and control their use. The effective detection of targets is the basis for such control, and existing detection methods are still inadequate for large-scale ...
Xin Du, Huatao Shang, Lei Wang, Yingfei Sun   +3 more
doaj   +1 more source

Vehicle Multi-Object Detection and Tracking Algorithm Based on Improved You Only Look Once 5s Version and DeepSORT

Applied Sciences
The increasing popularity of vehicles has led to traffic congestion and frequent traffic accidents. Intelligent transportation technology is an effective solution to this problem.
Thioanh Bui, Guihao Wang, Geng Wei, Qian Zeng   +3 more
doaj   +1 more source

Parent‐to‐Child Information Disclosure in Pediatric Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor, Flora Hoodin, Michelle Byrd, Kristin A. Kullgren, Leah LaLonde, Lauren Benkoske, Patrick Smith, Dawn Carson, Karen MacDonald, Susumu Inoue, Brenda Kitchen, Kate Gowans, Gregory A. Yanik   +12 more
wiley   +1 more source

Low-Quality and Multi-Target Detection in RSIs [PDF]

Proceedings of Information Science and Cloud Computing — PoS(ISCC 2017), 2018
To improve the recognition and detection accuracy and recall of objects in unnatural images, we use remote sensing video image data to detect low-quality and small targets. Based on this, we propose the use of a deconvolution network and hyper features to control convolutional feature quality. We call this approach the Quality Deconvolution Single Shot
Guiyang Liu, Shengyang Li, Yuyang Shao
openaire   +1 more source