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- The Visual Object Tracking VOT2016 Challenge Results776
The Visual Object Tracking challenge VOT2016 goes beyond its predecessors by introducing a new semi-automatic ground truth bounding box annotation methodology and extending the evaluation system with the no-reset experiment.
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- Content based image retrieval using motif cooccurrence matrix308
The retrieval using the MCM is better than the CCM since it captures the third order image statistics in the local neighborhood and the use of MCM considerably improves the retrieval performance.
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- Median Binary Pattern for Textures Classification158
It is demonstrated - using a set of classifications, that the proposed method significantly improves the capability of texture recognition and outperforms classical algorithms.
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- VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results81
A large-scale video object detection and tracking dataset, which consists of 79 video clips with about 1.5 million annotated bounding boxes in 33, 366 frames, and the evaluation protocol of the VisDrone-VDT2018 challenge and the results of the algorithms on the benchmark dataset are presented.
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- Wide-Area Persistent Airborne Video: Architecture and Challenges70
Traditional tradeoffs posed between lens size and resolution, that is the numerical aperture of the system, can now be mitigated using an array of cameras mounted in a specific geometry, enabling new imaging systems to cover very large fields of view at high resolution, albeit with spatially varying point spread functions.
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- Joint Adaptive Median Binary Patterns for texture classification68
The proposed novel texture descriptor, the Adaptive Median Binary Pattern (AMBP), performs better than the best state-of-the-art techniques in the noiseless case and significantly outperforms all of them in the presence of impulse noise.
- The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results66
A significant general improvement of results has been observed, which partly compensate for the more difficult sequences introduced into the dataset in VOT-TIR2016.
- Application Of Papoulis-Gerchberg Method In Image Super-Resolution and Inpainting64
This paper studies the Papoulis–Gerchberg (PG) method and its applications to domains of image restoration such as super-resolution (SR) and inpainting and suggests improvements to the method to achieve better SR and inpainted results.
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- Rotationally Invariant Hashing of Median Binary Patterns for Texture Classification48
A novel image feature descriptor for rotationally invariant 2D texture classification that outperforms the rotation invariant uniform local binary patterns (LBP UNIF) and quantitatively compare and demonstrate the advantage of the new MBP texture descriptors for classification using the Brodatz and Outex texture dictionaries.
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- Summary of methods in Wide-Area Motion Imagery (WAMI)44
This paper summarizes the published literature on WAMI results in an effort to organize the techniques, discuss the developments, and determine the state-of-the-art.
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- Dynamic Data Driven Applications System Concept for Information Fusion44
A Wide-Area Motion Imagery application is used to draw parallels and contrasts between IF and DDDAS systems that warrants an integrated perspective and is aimed at triggering a sequence of deeper insightful research towards exploiting sparsely sampled piecewise dense WAMI measurements.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-14. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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