A5064084523- Advanced SAR Imaging Techniques
- Video Surveillance and Tracking Methods
- Gait Recognition and Analysis
- Human Pose and Action Recognition
- Infrared Target Detection Methodologies
- Robotics and Sensor-Based Localization
- Fire Detection and Safety Systems
- Microwave Imaging and Scattering Analysis
- Advanced Algorithms and Applications
- Medical Image Segmentation Techniques
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Optical Systems and Laser Technology
- Sparse and Compressive Sensing Techniques
- Advanced Measurement and Detection Methods
Xidian University
2021-2024
Moving target shadows are being increasingly used in video synthetic aperture radar (video SAR) for moving tracking. However, frequently disappear and appear caused by factors such as background occlusion motion cessation. Most existing shadow-based tracking methods inadequate handling the aforementioned situation, particularly when confronted with prolonged disappearance of shadows, which leads to a significant deterioration performance. To solve problem, we proposed dual-mode framework...
Shadows are widely used in the tracking of moving targets by video synthetic aperture radar (video SAR). However, they always appear groups SAR images. In such cases, track effects produced existing single-target methods no longer satisfactory. To this end, an effective way to obtain capability multiple target (MTT) is urgent demand. Note that detection (TBD) for MTT optical images has achieved great success. TBD cannot be utilized directly. The reasons shadows quite different from image...
The moving target is always defocused and shifted out of the scene in image sequences video Synthetic Aperture Radar (video-SAR), which makes tracking be a formidable challenge. In this paper, new method based on shadow with unsupervised deep track (UDT) proposed. Our network built Siamese framework trained series unlabeled SAR learning way. Meanwhile, we use trajectory detection technology to get more accurate results. Finally., processing results real data are provided verify effectiveness...
The moving target is always defocused and shifted out of the scene in image sequences video synthetic aperture radar (video SAR), resulting a shadow real position. tracking-by-detection framework often adopted solving tracking problems. However, when multiple targets are tracked simultaneously, association between observations can be conflict. In this paper, method based on with hypothesis proposed. We first use improved Faster-RCNN to detect shadows targets. Then we apply MHT track...
Moving targets always defocus and shift outside the scene in video synthetic aperture radar (video SAR) image sequences. However, shadows of moving are immune to these issues can reveal true position targets. As such, by tracking SAR sequence, it becomes feasible keep track Nevertheless, due small pixel size time-varying characteristics target shadow, current prevailing methods often prove insufficient for direct shadow. In this paper, a shadow-assisted method based on multilevel...