I am doing my research in automatic image annotation. I tried by using vision toolbox, but able to solve only for one object. how to proceed for multiple objects

my code for identifying cats in an image.

load('cats.mat');
imDir = fullfile(matlabroot,'toolbox','vision','visiondemos','cats');
addpath(imDir);
negativeFolder = fullfile(matlabroot,'toolbox','vision','visiondemos','non cats');
trainCascadeObjectDetector('stopSignDetector.xml', data, negativeFolder, 'FalseAlarmRate', 0.2, 'NumCascadeStages', 5);
trainCascadeObjectDetector('cats.xml', data, negativeFolder, 'FalseAlarmRate', 0.2, 'NumCascadeStages', 5);
img = imread('test1.jpg');
detector = vision.CascadeObjectDetector('cats.xml');
bbox = step(detector, img);
detectedImg = insertObjectAnnotation(img,'rectangle', bbox, 'cat');
figure; imshow(detectedImg);
rmpath(imDir);

[Nomi khan]

Dear harini , im also working on AIA research, can u please share details of your work done with me at [e-mail] hope that we can help each other

[Nomi khan]

u need to create a codebook for this , the technical names are codebook, bag of words, bag of images or visual dictionary

Answer 1

[Dima Lisin]

You would need a separate detector for each object category.

[Datti Nagadhara Harini]

how can we do seperately