High performance visual tracking
WebApr 14, 2024 · By virtue of the merits of wide swath, persistent observation, and rapid operational response, geostationary remote sensing satellites (e.g., GF-4) show tremendous potential for sea target system surveillance and situational awareness. However, ships in such images appear as dim small targets and may be affected by clutter, reef islands, … WebVisual simultaneous localization and mapping (SLAM), based on point features, achieves high localization accuracy and map construction. They primarily perform simultaneous localization and mapping based on static features. Despite their efficiency and high precision, they are prone to instability and even failure in complex environments. In a …
High performance visual tracking
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WebHigh performance visual tracking with siamese region proposal network. In IEEE Conference on Computer Vision and Pattern Recognition. 8971--8980. Google Scholar Cross Ref; Feng Li, Cheng Tian, Wangmeng Zuo, Lei Zhang, and Ming-Hsuan Yang. 2024. Learning spatial-temporal regularized correlation filters for visual tracking. WebThis work presents a Residual Attentional Siamese Network (RASNet) for high performance object tracking. The RASNet model reformulates the correlation filter within a Siamese tracking framework, and introduces different kinds of the attention mechanisms to adapt the model without updating the model online.
WebApr 12, 2024 · Visual tracking is a core component of intelligent transportation systems, especially for unmanned driving and road surveillance. Numerous convolutional neural network (CNN) trackers have achieved unprecedented performance. However, CNN features with regular spatial context relationships experience difficulty matching the rigid target … WebExtensive experiments on four UAV benchmarks, i.e., DTB70, UAVDT, UAV123@10fps and VisDrone-test-dev, have proven that our tracker performs favorably against the state-of …
Webhigh performance visual tracking, which consists of a matching subnetwork and a classification subnetwork. We utilize an effective model update method to deter-mine the necessity for classification subnetwork online updating. We conduct extensive experiments on several recent tracking benchmarks, our proposed approach achieves WebMar 30, 2024 · UAVs visual tracking is to predict the target position unceasingly only using the information given in the first frame. Nevertheless, there are some difficulties in general object tracking, e.g., deformation, aspect ratio change, partial/full occlusion, low-resolution, and camera motion.
WebExtensive experiments on four UAV benchmarks have proven the superiority of our method compared to the state-of-the-art CPU- and GPU-based trackers, with a speed of ~60 frames per second running on a single CPU. Our tracker is additionally proposed to be applied in UAV localization.
Websults on five of the largest tracking benchmarks, including OTB2015 [46], VOT2024 [21], UAV123 [31], LaSOT [10], and TrackingNet [30]. Furthermore, we propose a fast vari-ant of our tracker using MobileNet[18] backbone that main-tains competitive performance, while running at 70 FPS. To facilitate further studies on the visual tracking direction, iota in complex numberWebSep 21, 2024 · [2009.09669] Learning Spatio-Appearance Memory Network for High-Performance Visual Tracking Existing visual object tracking usually learns a bounding-box based template to match the targets across frames, which cannot accurately learn a pixel-wise representation, thereby being limited in... on track guitar schoolWebVisual Tracking 140 papers with code • 5 benchmarks • 19 datasets Visual Tracking is an essential and actively researched problem in the field of computer vision with various real-world applications such as robotic services, smart surveillance systems, autonomous driving, and human-computer interaction. ontrack hard disk recoveryWebCNN model for high performance visual objec-t tracking. It learns both low-level ne-grained rep-resentations and a high-level semantic embedding space in a mutual reinforced way, … on track healthcareWebHigh Performance Visual Tracking with Siamese Region Proposal Network. SenseTime Group Limited. Beihang University. Tsinghua University. Institute of Automation, Chinese … ontrack hard drive recoveryWebOur final method yields significant performance improvements on our proposed EVE dataset, with up to 28% improvement in Point-of-Gaze estimates (resulting in 2.49 • in angular error), paving the path towards high-accuracy screen-based eye tracking purely from webcam sensors. ontrack hamburgWebDec 1, 2024 · Visual tracking algorithms based on structured output support vector machine (SOSVM) have demonstrated excellent performance. However, sampling methods and … iota investment services