Demo Data from EDBT 2026 / reviewers in the wild / expert
R. Nevatia
dblp:144/5190
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1992
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1
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 graphics and multimedia
1 paper |
Image and video processing · 77% Multimedia analysis and retrieval · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video processing › motion analysis
motion detection |
0.0 | 1 | 1992 | Detecting moving objects from a moving platform · ICRA 1992 |
Multimedia analysis and retrieval
video analysis |
0.0 | 1 | 1992 | Detecting moving objects from a moving platform · ICRA 1992 |
Methods — techniques the papers use, named apart from their topics
edge segment detection · 0.0complex logarithmic mapping · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1992 | Detecting moving objects from a moving platformabstractThe authors present a system that successfully detects edge segments of moving objects viewed by a translating camera. The system uses two key concepts. First, a complex logarithmic mapping (CLM) is used to simplify detection of the desired movement. This converts the problem from one of detecting a complex motion along both the X and Y axes, to one of detecting vertical motion along an angular axis. Second, a mechanism to detect vertically moving edges has been developed to detect the requisite vertical motion within the CLM image. Results of processing both synthetic and real image sequences are shown. The synthetic sequence consisted of imagery, containing a moving truck, taken from an observation vehicle that was following a road. The system correctly detected portions of the truck as it passed the observer. Important similarities exist between biological vision systems and the techniques presented for motion detection.> J. Frazier, R. Nevatia |
ICRA | 2 |