Zuojin Li, Liukui Chen, Jun Peng, Lei Song, "An Approach to Interesting Objects Detection in Low Quality Image Sequences for Fisheries Management," WSEAS Transactions on Signal Processing, vol. 11, pp. 1-8, 2015, DOI:
Zuojin Li, Liukui Chen, Jun Peng, Lei Song. An Approach to Interesting Objects Detection in Low Quality Image Sequences for Fisheries Management.
WSEAS Transactions on Signal Processing. 2015;11:1-8.
WSEAS Transactions on Signal Processing
Print ISSN: 1790-5052, E-ISSN: 2224-3488
Volume 11, 2015
An Approach to Interesting Objects Detection in Low Quality Image Sequences for Fisheries Management
Authors: , , ,
Abstract: In order to extract interest objects in low quality image sequences from fisheries management, this paper proposes a new significant feature extraction method based on cascade framework. This algorithm involves preprocessing image sequences, clipping interesting areas, extracting SURF features, removing boundary features, and acquiring significant features with interesting objects. We apply our algorithm to fisheries management for counting and matching ships and cars, the proposed method can efficiently detect multiple objects from real-scene video frames with averaged accuracy 91.63%.
Keywords:
SURF Features, Interest Objects, Features Extraction, Multiple Objects Detection, Low Quality Image Processing
Pages: 1-8 WSEAS Transactions on Signal Processing, ISSN / E-ISSN: 1790-5052 / 2224-3488, Volume 11, 2015, Art. #1 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
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