19.6.3.7.10 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


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:Sep 18, 2017 at 11:34:11