19.6.3.7.12 Insects, Detection, Identification

Chapter Contents (Back)
Insect Recognition.

Larios, N.[Natalia], Deng, H.L.[Hong-Li], Zhang, W.[Wei], Sarpola, M.[Matt], Yuen, J.[Jenny], Paasch, R.[Robert], Moldenke, A.[Andrew], Lytle, D.A.[David A.], Correa, S.R.[Salvador Ruiz], Mortensen, E.N.[Eric N.], Shapiro, L.G.[Linda G.], Dietterich, T.G.[Thomas G.],
Automated insect identification through concatenated histograms of local appearance features: feature vector generation and region detection for deformable objects,
MVA(19), No. 2, March 2008, pp. 105-123.
Springer DOI 0802
BibRef
Earlier:
Automated Insect Identification through Concatenated Histograms of Local Appearance Features,
WACV07(26-26).
IEEE DOI 0702
BibRef

Larios, N., Soran, B., Shapiro, L.G., Martinez-Munoz, G., Lin, J., Dietterich, T.G.,
Haar Random Forest Features and SVM Spatial Matching Kernel for Stonefly Species Identification,
ICPR10(2624-2627).
IEEE DOI 1008
BibRef

Larios, N.[Natalia], Lin, J., Zhang, M., Lytle, D.A.[David A.], Moldenke, A.[Andrew], Shapiro, L.G., Dietterich, T.G.,
Stacked spatial-pyramid kernel: An object-class recognition method to combine scores from random trees,
WACV11(329-335).
IEEE DOI 1101
BibRef

Martineau, M.[Maxime], Conte, D.[Donatello], Raveaux, R.[Romain], Arnault, I.[Ingrid], Munier, D.[Damien], Venturini, G.[Gilles],
A survey on image-based insect classification,
PR(65), No. 1, 2017, pp. 273-284.
Elsevier DOI 1702
Survey, Insects. Image-based insect recognition BibRef

Makori, D.M.[David M.], Fombong, A.T.[Ayuka T.], Abdel-Rahman, E.M.[Elfatih M.], Nkoba, K.[Kiatoko], Ongus, J.[Juliette], Irungu, J.[Janet], Mosomtai, G.[Gladys], Makau, S.[Sospeter], Mutanga, O.[Onisimo], Odindi, J.[John], Raina, S.[Suresh], Landmann, T.[Tobias],
Predicting Spatial Distribution of Key Honeybee Pests in Kenya Using Remotely Sensed and Bioclimatic Variables: Key Honeybee Pests Distribution Models,
IJGI(6), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Bakkay, M.C.[Mohamed Chafik], Chambon, S.[Sylvie], Rashwan, H.A.[Hatem A.], Lubat, C.[Christian], Barsotti, S.[Sébastien],
Automatic detection of individual and touching moths from trap images by combining contour-based and region-based segmentation,
IET-CV(12), No. 2, March 2018, pp. 138-145.
DOI Link 1804
BibRef

Rodriguez, I.F., Megret, R., Acuna, E., Agosto-Rivera, J.L., Giray, T.,
Recognition of Pollen-Bearing Bees from Video Using Convolutional Neural Network,
WACV18(314-322)
IEEE DOI 1806
computer vision, convolution, feedforward neural nets, image classification, baseline classifiers, Task analysis BibRef

López-Fernández, L.[Luis], Lagüela, S.[Susana], Rodríguez-Gonzálvez, P.[Pablo], Martín-Jiménez, J.A.[José Antonio], González-Aguilera, D.[Diego],
Close-Range Photogrammetry and Infrared Imaging for Non-Invasive Honeybee Hive Population Assessment,
IJGI(7), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Li, F.[Fan], Xiong, Y.[Yin],
Automatic identification of butterfly species based on HoMSC and GLCMoIB,
VC(34), No. 11, November 2018, pp. 1525-1533.
WWW Link. 1810
BibRef


Martineau, M.[Maxime], Raveaux, R.[Romain], Chatelain, C.[Clément], Conte, D.[Donatello], Venturini, G.[Gilles],
Effective Training of Convolutional Neural Networks for Insect Image Recognition,
ACIVS18(426-437).
Springer DOI 1810
BibRef

Schurischuster, S.[Stefan], Remeseiro, B.[Beatriz], Radeva, P.[Petia], Kampel, M.[Martin],
A Preliminary Study of Image Analysis for Parasite Detection on Honey Bees,
ICIAR18(465-473).
Springer DOI 1807
BibRef

Nie, L., Wang, K., Fan, X., Gao, Y.,
Fine-Grained Butterfly Recognition with Deep Residual Networks: A New Baseline and Benchmark,
DICTA17(1-7)
IEEE DOI 1804
biology computing, image classification, image recognition, learning (artificial intelligence), ResNet, Training BibRef

Gerund, S., Ogawa, T., Haseyama, M.,
Image retrieval based on LRGA algorithm and relevance feedback for insect identification,
ICIP17(3978-3982)
IEEE DOI 1803
Feature extraction, Image retrieval, Insects, Radio frequency, Visual databases, Visualization, Image retrieval, LRGA, relevance feedback BibRef

Duan, L., Shen, M., Gao, W., Cui, S., Deussen, O.,
Bee pose estimation from single images with convolutional neural network,
ICIP17(2836-2840)
IEEE DOI 1803
Antennas, Feature extraction, Insects, Pose estimation, Sugar, Tongue, Training, ConvNet, Insect pose estimation BibRef

Nguyen, N.R., Shin, M.C.,
Detecting Social Insects in Videos Using Spatiotemporal Regularization,
WACV17(493-500)
IEEE DOI 1609
Insects, Optical imaging, Spatiotemporal phenomena, Training, Training data, Videos BibRef

Carvajal, J.A.[Juan A.], Romero, D.G.[Dennis G.], Sappa, A.D.[Angel D.],
Fine-Tuning Based Deep Convolutional Networks for Lepidopterous Genus Recognition,
CIARP16(467-475).
Springer DOI 1703
BibRef

Souza, V.M.A.[Vinicius M. A.],
Identifying Aedes aegypti Mosquitoes by Sensors and One-Class Classifiers,
CIARP16(10-18).
Springer DOI 1703
BibRef

Shen, M.[Minmin], Duan, L.[Le], Deussen, O.[Oliver],
Single-Image Insect Pose Estimation by Graph Based Geometric Models and Random Forests,
BioImage16(I: 217-230).
Springer DOI 1611
BibRef

Lu, A.[An], Hou, X.W.[Xin-Wen], Liu, C.L.[Cheng-Lin], Chen, X.L.[Xiao-Lin],
Insect species recognition using discriminative local soft coding,
ICPR12(1221-1224).
WWW Link. 1302
BibRef

Sun, C., Flemons, P., Gao, Y., Wang, D., Fisher, N., La Salle, J.,
Automated Image Analysis on Insect Soups,
DICTA16(1-6)
IEEE DOI 1701
Australia BibRef

Nguyen, C.[Chuong], Lovell, D., Oberprieler, R., Jennings, D., Adcock, M., Gates-Stuart, E., La Salle, J.[John],
Virtual 3D Models of Insects for Accelerated Quarantine Control,
AccBio13(161-167)
IEEE DOI 1403
agriculture BibRef

Mele, K.,
Insect Soup Challenge: Segmentation, Counting, and Simple Classification,
AccBio13(168-171)
IEEE DOI 1403
cameras BibRef

Takahashi, A.[Akihiro], Ogawa, T.[Takahiro], Haseyama, M.[Miki],
Insect classification using Scanning Electron Microphotographs considering magnifications,
ICIP13(3269-3273)
IEEE DOI 1412
Insect classification BibRef

Shin, B.S.[Bok-Suk], Russell, J.[James], Klette, R.[Reinhard],
Feature Extraction and Classification for Insect Footprint Recognition,
CIARP12(196-203).
Springer DOI 1209
BibRef

Geng, H.[Haokun], Russell, J.[James], Shin, B.S.[Bok-Suk], Nicolescu, R.[Radu], Klette, R.[Reinhard],
A Flexible Method for Localisation and Classification of Footprints of Small Species,
PSIVT11(II: 274-286).
Springer DOI 1111
BibRef

Shin, B.S.[Bok-Suk], Cha, E.Y.[Eui-Young], Woo, Y.W.[Young Woon], Klette, R.[Reinhard],
Segmentation of Scanned Insect Footprints Using ART2 for Threshold Selection,
PSIVT07(311-320).
Springer DOI 0712
BibRef

Lu, A.[An], Hou, X.[Xin], Lin, C.[Chen], Liu, C.L.[Cheng-Lin],
Insect Species Recognition using Sparse Representation,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Zhang, X.Z.[Xiao-Zheng], Gao, Y.S.[Yong-Sheng], Caelli, T.,
Primitive-based 3D structure inference from a single 2D image for insect modeling: Towards an electronic field guide for insect identification,
ICARCV10(866-871).
IEEE DOI 1109
BibRef

Huang, S.G.[Shi-Guo], Zhou, M.Q.[Ming-Quan], Geng, G.H.[Guo-Hua], Wang, X.L.[Xiu-Li],
Ontology-based insect recognition,
IASP09(176-178).
IEEE DOI 0904
BibRef

Bechar, I.[Ikhlef], Moisan, S.[Sabine], Thonnat, M.[Monique], Bremond, F.[Francois],
On-Line Video Recognition and Counting of Harmful Insects,
ICPR10(4068-4071).
IEEE DOI 1008
BibRef

Roth, V.[Volker], Steinhage, V.[Volker], Schröder, S.[Stefan], Cremers, A.B.[Armin B.], Wittmann, D.[Dieter],
Pattern Recognition Combining De-noising and Linear Discriminant Analysis within a Real World Application,
CAIP99(251-258).
Springer DOI 9909
Classify bees based on forewings. BibRef

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Inspection -- Lumber, Logs, Wood .


Last update:Nov 12, 2018 at 11:26:54