Browsing MTech Theses by Author "Subramanyam, A V (Advisor)"

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Channel-graph regularized correlation filter for visual object tracking

Tyagi, Arjun; Subramanyam, A V (Advisor) (IIIT-Delhi, 2020-08)

Correlation filter (CF) based tracker often disregard or weakly incorporate the importance of feature channels as well as channel similarity. To address this, we propose a channel-graph regularization correlation filter-based ...
Unsupervised meta generative object re-identification

Giri, Biman; Subramanyam, A V (Advisor) (IIIT-Delhi, 2022-05)

Unsupervised domain adaptation severely suffers from huge domain gap in fine grained recognition tasks such as vehicle re-identification (re-id). Existing works either focus on fully unsupervised methods using tracklet or ...
Video inpainting detection using inconsistencies in optical flow

Saxena, Shobhita; Subramanyam, A V (Advisor) (2015-12-03)

In recent years due to advancement in video and image editing tools it has become increasingly easy to modify the multimedia content. The doctored videos are very di cult to identify through visual examination as ...
Visual tracking using analysis dictionary learning

Sitani, Divya (Advisor); Subramanyam, A V (Advisor); Majumdar, Angshul (Advisor) (2017-08)

Visual tracking or object tracking is the process of estimating the state of the target in successive frames of a video sequence. It is an integral part of a plethora of applications like security, surveillance, navigation ...

Now showing items 1-4 of 4

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