Recent advances of single-object tracking methods: A brief survey
Single-object tracking is regarded as a challenging task in computer vision, especially in
complex spatio-temporal contexts. The changes in the environment and object deformation …
complex spatio-temporal contexts. The changes in the environment and object deformation …
The seventh visual object tracking VOT2019 challenge results
Abstract The Visual Object Tracking challenge VOT2019 is the seventh annual tracker
benchmarking activity organized by the VOT initiative. Results of 81 trackers are presented; …
benchmarking activity organized by the VOT initiative. Results of 81 trackers are presented; …
Visual object tracking with discriminative filters and siamese networks: a survey and outlook
Accurate and robust visual object tracking is one of the most challenging and fundamental
computer vision problems. It entails estimating the trajectory of the target in an image …
computer vision problems. It entails estimating the trajectory of the target in an image …
D3s-a discriminative single shot segmentation tracker
Template-based discriminative trackers are currently the dominant tracking paradigm due to
their robustness, but are restricted to bounding box tracking and a limited range of …
their robustness, but are restricted to bounding box tracking and a limited range of …
Recent trends in multicue based visual tracking: A review
In the recent years, multicue visual tracking frameworks have been preferred over single cue
visual tracking approaches to address critical environmental challenges. In literature, it has …
visual tracking approaches to address critical environmental challenges. In literature, it has …
Learning adaptive attribute-driven representation for real-time RGB-T tracking
The development of a real-time and robust RGB-T tracker is an extremely challenging task
because the tracked object may suffer from shared and specific challenges in RGB and …
because the tracked object may suffer from shared and specific challenges in RGB and …
Box-aware feature enhancement for single object tracking on point clouds
Current 3D single object tracking approaches track the target based on a feature
comparison between the target template and the search area. However, due to the common …
comparison between the target template and the search area. However, due to the common …
3d siamese transformer network for single object tracking on point clouds
Siamese network based trackers formulate 3D single object tracking as cross-correlation
learning between point features of a template and a search area. Due to the large …
learning between point features of a template and a search area. Due to the large …
Spatiotemporal data mining: a survey on challenges and open problems
Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay
between space and time. Several available surveys capture STDM advances and report a …
between space and time. Several available surveys capture STDM advances and report a …
P2b: Point-to-box network for 3d object tracking in point clouds
H Qi, C Feng, Z Cao, F Zhao… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Towards 3D object tracking in point clouds, a novel point-to-box network termed P2B is
proposed in an end-to-end learning manner. Our main idea is to first localize potential target …
proposed in an end-to-end learning manner. Our main idea is to first localize potential target …