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Tracking objects in underwater multibeam sonar images
Ioseba Tena Ruiz
,
Yvan Petillot
, David Lane
, Judith Bell
School of Engineering & Physical Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
15
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Citations (Scopus)
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INIS
images
100%
sonar
100%
underwater
100%
data
66%
algorithms
50%
filters
33%
processing
33%
detection
16%
avoidance
16%
implementation
16%
prediction
16%
universities
16%
constraints
16%
power
16%
output
16%
vision
16%
oceans
16%
underwater vehicles
16%
sensors
16%
extraction
16%
laboratory system
16%
Computer Science
Real Data Sets
100%
Tracking Object
100%
Obstacle Avoidance
50%
Tracking Algorithm
50%
obstacle detection
50%
Processing Power
50%
Segmentation Method
50%
Preprocessing Phase
50%
Laboratory System
50%
Feature Extraction
50%
Engineering
Sonar Image
100%
Real Data
66%
Processed Data
33%
Feature Extraction
33%
Segmentation Method
33%
Processing Power
33%
Point Feature
33%
Preprocessing Phase
33%
Data Flow
33%
Tracking Algorithm
33%
Obstacle Avoidance
33%
Nearest Neighbor
33%
Remotely operated underwater vehicles
33%
Earth and Planetary Sciences
Real Time
100%
Multibeam Sonar
100%
Pattern Recognition
50%
Preprocessing
50%
Underwater Vehicle
50%
Obstacle Avoidance
50%