Matches in SemOpenAlex for { <https://semopenalex.org/work/W4384080800> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W4384080800 endingPage "96529" @default.
- W4384080800 startingPage "96522" @default.
- W4384080800 abstract "Fish stocks are among the most endangered components of marine ecosystems. To minimize threats to marine ecosystems and ensure natural and sustainable resource use, monitoring systems must be placed in oceans and seas. The Underwater Fish Observatory (UFO) and the UFOTriNet are two projects initiated by several researchers from marine biology, engineering and industry in Germany between the years 2014 and 2016 and between 2019 and 2023, respectively. The systems collect abiotic as well as camera and sonar data to count fish stocks. This work proposes a method for robust fish counting using sonar data. Activity segmentation as well as object tracking are important steps to successfully accomplish this task. Background subtraction is often used as pre-processing step for stationary fixed sonars. Our proposed method improves this step using band-pass filtering. For the segmentation step, our method utilizes a simple Gaussian distribution model with positional covariances calculated directly on the intensity image. The tracking step is implemented using a classic Kalman Filter that estimates velocity and position of each object in Cartesian coordinates. The sonar detections in the close range of the observable area are compared to the camera detections for validation. Also automatic parameter optimization is used to maximize correlation with camera detections. Additionally, the proposed method is applied to the Caltech Fish Counting Dataset and compared with a deep learning method based on YOLOv5." @default.
- W4384080800 created "2023-07-13" @default.
- W4384080800 creator A5031882767 @default.
- W4384080800 creator A5066589077 @default.
- W4384080800 creator A5092456210 @default.
- W4384080800 date "2023-01-01" @default.
- W4384080800 modified "2023-10-16" @default.
- W4384080800 title "Activity Segmentation and Fish Tracking from Sonar Videos by combining Artifacts Filtering and a Kalman Approach" @default.
- W4384080800 cites W1990054309 @default.
- W4384080800 cites W1991331591 @default.
- W4384080800 cites W2030602261 @default.
- W4384080800 cites W2033115016 @default.
- W4384080800 cites W2124781496 @default.
- W4384080800 cites W2186155590 @default.
- W4384080800 cites W2252355370 @default.
- W4384080800 cites W2263612397 @default.
- W4384080800 cites W2344446275 @default.
- W4384080800 cites W2511791013 @default.
- W4384080800 cites W2522256182 @default.
- W4384080800 cites W2542879724 @default.
- W4384080800 cites W2942303794 @default.
- W4384080800 cites W2966151507 @default.
- W4384080800 cites W2966271978 @default.
- W4384080800 cites W3104778224 @default.
- W4384080800 cites W3129419153 @default.
- W4384080800 cites W3159803875 @default.
- W4384080800 cites W3178620868 @default.
- W4384080800 cites W4213364433 @default.
- W4384080800 cites W4220856824 @default.
- W4384080800 cites W4313065291 @default.
- W4384080800 cites W4315781540 @default.
- W4384080800 cites W4328126015 @default.
- W4384080800 cites W4353060828 @default.
- W4384080800 doi "https://doi.org/10.1109/access.2023.3294710" @default.
- W4384080800 hasPublicationYear "2023" @default.
- W4384080800 type Work @default.
- W4384080800 citedByCount "0" @default.
- W4384080800 crossrefType "journal-article" @default.
- W4384080800 hasAuthorship W4384080800A5031882767 @default.
- W4384080800 hasAuthorship W4384080800A5066589077 @default.
- W4384080800 hasAuthorship W4384080800A5092456210 @default.
- W4384080800 hasBestOaLocation W43840808001 @default.
- W4384080800 hasConcept C124504099 @default.
- W4384080800 hasConcept C154945302 @default.
- W4384080800 hasConcept C157286648 @default.
- W4384080800 hasConcept C166957645 @default.
- W4384080800 hasConcept C205649164 @default.
- W4384080800 hasConcept C31972630 @default.
- W4384080800 hasConcept C41008148 @default.
- W4384080800 hasConcept C555745239 @default.
- W4384080800 hasConcept C62649853 @default.
- W4384080800 hasConcept C89600930 @default.
- W4384080800 hasConcept C98083399 @default.
- W4384080800 hasConceptScore W4384080800C124504099 @default.
- W4384080800 hasConceptScore W4384080800C154945302 @default.
- W4384080800 hasConceptScore W4384080800C157286648 @default.
- W4384080800 hasConceptScore W4384080800C166957645 @default.
- W4384080800 hasConceptScore W4384080800C205649164 @default.
- W4384080800 hasConceptScore W4384080800C31972630 @default.
- W4384080800 hasConceptScore W4384080800C41008148 @default.
- W4384080800 hasConceptScore W4384080800C555745239 @default.
- W4384080800 hasConceptScore W4384080800C62649853 @default.
- W4384080800 hasConceptScore W4384080800C89600930 @default.
- W4384080800 hasConceptScore W4384080800C98083399 @default.
- W4384080800 hasFunder F4320323499 @default.
- W4384080800 hasLocation W43840808001 @default.
- W4384080800 hasOpenAccess W4384080800 @default.
- W4384080800 hasPrimaryLocation W43840808001 @default.
- W4384080800 hasRelatedWork W1669643531 @default.
- W4384080800 hasRelatedWork W2005437358 @default.
- W4384080800 hasRelatedWork W2008656436 @default.
- W4384080800 hasRelatedWork W2023558673 @default.
- W4384080800 hasRelatedWork W2023680342 @default.
- W4384080800 hasRelatedWork W2110230079 @default.
- W4384080800 hasRelatedWork W2134924024 @default.
- W4384080800 hasRelatedWork W2517104666 @default.
- W4384080800 hasRelatedWork W2742702720 @default.
- W4384080800 hasRelatedWork W3085844478 @default.
- W4384080800 hasVolume "11" @default.
- W4384080800 isParatext "false" @default.
- W4384080800 isRetracted "false" @default.
- W4384080800 workType "article" @default.