scispace - formally typeset
M

Mohana Murali Dasari

Researcher at Indian Institutes of Technology

Publications -  6
Citations -  239

Mohana Murali Dasari is an academic researcher from Indian Institutes of Technology. The author has contributed to research in topics: Video tracking & Computer science. The author has an hindex of 2, co-authored 4 publications receiving 39 citations.

Papers
More filters
Book ChapterDOI

The Eighth Visual Object Tracking VOT2020 Challenge Results

Matej Kristan, +109 more
TL;DR: A significant novelty is introduction of a new VOT short-term tracking evaluation methodology, and introduction of segmentation ground truth in the VOT-ST2020 challenge – bounding boxes will no longer be used in theVDT challenges.
Proceedings ArticleDOI

The Ninth Visual Object Tracking VOT2021 Challenge Results

Matej Kristan, +131 more
Book ChapterDOI

The Tenth Visual Object Tracking VOT2022 Challenge Results

Matej Kristan, +155 more
TL;DR: The Visual Object Tracking challenge VOT2022 as mentioned in this paper was composed of seven sub-challenges focusing on different tracking domains: (i) VOT-STs2022 challenge focused on short-term tracking in RGB by segmentation, (ii) VOTE-STb2022 challenging was focused on real-time short-time tracking by bounding boxes, (iii) VODE-RTb2021 challenge was concerned with segmentation of RGB and depth-only images, and (iv) as mentioned in this paper focused on long-term longterm tracking by coping with target disappearance and reappearance.
Proceedings ArticleDOI

IOU – Siamtrack: IOU Guided Siamese Network For Visual Object Tracking

TL;DR: This paper proposes a framework close to the Siamese class of networks, but guided by Intersection Over Union (IOU) to predict precise bbox directly in the image space rather than at the feature space, and introduces a new module and corresponding loss function in training the network.