Demo Data from VLDB 2026 / reviewers in the wild / expert
Manomit Bal
dblp:198/5376
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
1 paper |
Edge and fog computing · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Edge and fog computing › video analytics
multi-camera tracking |
0.3 | 1 | 2017 | Panoptes : a cheap, extensible, open-source multi-camera tracking system: demo abstract · IPSN 2017 |
Methods — techniques the papers use, named apart from their topics
depth sensing · 0.3camera calibration · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Panoptes : a cheap, extensible, open-source multi-camera tracking system: demo abstractabstractWe are developing an extensible, open-source framework that can localize and track rigid bodies using a network of cameras (both RGB and depth). This system is motivated by two design goals - (i) ease of setup, and (ii) ability to be agnostic of individual cameras and recognition algorithms. The goal of this implementation is to be a poor man's motion capture system that can be quickly set up for experimentation and provide accurate 3-D pose of the rigid body and scalable across cameras and the volume of coverage. Manomit Bal, Javier Yu, Karthik Dantu |
IPSN | 1 |