@article{fdi:010057141, title = {{B}ags-of-{F}eatures for fish school cluster characterization in pelagic ecosystems : application to the discrimination of juvenile and adult anchovy ({E}ngraulis ringens) clusters off {P}eru}, author = {{F}ablet, {R}onan and {G}ay, {P}. and {P}eraltilla, {S}. and {P}ena, {C}. and {C}astillo, {R}. and {B}ertrand, {A}rnaud}, editor = {}, language = {{ENG}}, abstract = {{W}hereas fisheries acoustics data processing mainly focused on the detection, characterization, and recognition of individual fish schools, here we addressed the characterization and discrimination of fish school clusters. {T}he proposed scheme relied on the application of the {B}ags-of-{F}eatures ({B}o{F}) approach to acoustic echograms. {T}his approach is widely exploited for pattern recognition issues and naturally applies here, considering fish schools as the relevant elementary objects. {I}t relies on the extraction and categorization of fish schools in fisheries acoustic data. {E}chogram descriptors were computed per unit echogram length as the numbers of schools in different school categories. {W}e applied this approach to the discrimination of juvenile and adult anchovy ({E}ngraulis ringens) off {P}eru. {W}hereas the discrimination of individual schools is low (below 70%), the proposed {B}o{F} scheme achieved between 89% and 92% of correct classification of juvenile and adult echograms for different survey data sets and significantly outperformed classical school-based echogram characteristics (about 10% of improvement of the correct classification rate). {W}e further illustrate the potential of the proposed scheme for the estimation of the spatial distribution of juvenile and adult anchovy populations.}, keywords = {}, booktitle = {}, journal = {{C}anadian {J}ournal of {F}isheries and {A}quatic {S}ciences}, volume = {69}, numero = {8}, pages = {1329--1339}, ISSN = {0706-652{X}}, year = {2012}, DOI = {10.1139/f2012-064}, URL = {https://www.documentation.ird.fr/hor/fdi:010057141}, }