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0
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2answers
14 views

Floating point Descriptor evaluation

I have come up with a new descriptor(floating point). I want to evaluate this descriptor against SIFT, GLOH, etc etc. I am using the K. Mikolajczyk, C. Schmid, approach. The method is described in ...
0
votes
0answers
3 views

Which performance criterion should be used in object recognition?

So I am reading a lot of papers on object recognition and I noticed that as a performance criterion for an algorithm, Detection Rate (DR) against False Positive Per Image (FPPI) (or DR/FPPI) seems to ...
-2
votes
0answers
16 views

object detection in image in matlab

I have two images ; 1. Penstand with pens. 2. Penstand with no pen is there. Now my issue is, there is any code in matlab to know: There is no pen in Penstand OR There are pens in the Penstand. ...
0
votes
2answers
79 views

Ship/Boat Detection

I want to do boat detection in almost real time around 2-3 frames/sec and my computation power is not very high. I want to keep the computations as low as possible. Which is the best method to do it? ...
1
vote
1answer
60 views

Detecting the Prescence of a “Tail”

I have a set of objects, which may be spherical or elongated, which may or may not have a tail like structure attached to one or two ends. The tail may be long or short. It may also have a curve to ...
1
vote
1answer
155 views

OpenCV Haar Classifier - best type of positive images

I'm currently collating images to try and develop a HAAR classifier using the OpenCV traincascade functionality. The objects I want to detect are small and numerous (bees), and I'm curious as to ...
0
votes
0answers
16 views

Pedestrian Re-identification during tracking

During the multi-camera tracking, there is a situation where one person moves from one camera's coverage area to another. In that case that person has to be re-identified(as the one from previous ...
0
votes
1answer
172 views

k-NN match for object recognition

The $\frac{d_1}{d_2}<0.6$ gives a large number of false matches and it assumes the nearest neighbour is a correct match. Anybody knows any good method to reduce number of false matches or filter ...
0
votes
0answers
47 views

Object detection approach

I am trying to detect the vehicles for that i used the SURF/SIFT and BOW with SVM approach but vehicles are of different type and i just studies that SURF/SIFT is for one specific object detection ...
0
votes
1answer
46 views

Which is the best method for comparing the histogram obtained after BOW?

Euclidian distance Cosine similarity Histogram Intersection Or any other? Consider the importance of the method in case of images. Eg, Cosine Similarity matches angle of two vectors... What impact ...
0
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0answers
39 views

Distance-metric for SIFT descriptors matching

Will using Cosine-Similarity or Histogram Intersection as distance-metric, for matching SIFT descriptors, help to get better results? Anybody tried on that ever?
0
votes
2answers
74 views

Increasing Recall rate for SIFT

Is there a better way to increase Recall Rate when using SIFT features? I am thinking a way to replace the NN1/NN2 ratio to account for slightly distorted objects. Moving towards clustering and using ...
2
votes
2answers
139 views

Minimum size for positive samples for HOG (Histogram of Gradient) detector training

I'm going to train a HOG detector for detect objects (pedestrian head) with SVMLight library. But my question is not about implementation. I'm wondering how to collect samples. I have to use some ...
2
votes
1answer
194 views

Detecting peaks in a noisy 2D correlation plot

I'm doing pattern matching by means of normalized grey-scale correlation. My input image is noisy and so the peaks in the correlation plot cannot be found just by thresholding. The original ...
0
votes
1answer
403 views

Object detection versus object recognition

I have a slight confusion differentiating between object recognition and object detection. Some people say object detection is a sub-topic of object recognition? Can someone clarify the the difference ...
1
vote
0answers
44 views

Train Pulse Recognition in Medium Voltage Networks

I just started a project in the Smart Grids area. It involves the recognition and quick extinction of earth faults in a medium voltage system. The system works automatically and pretty much gets rid ...
3
votes
1answer
3k views

Apply a Gabor filter to an input image

I tried to apply a Gabor filter with a specific scale (according to my values of lambda and sigma, so it is 7x7) and for 4 orientations (0, pi/4, pi/2 and 3pi/4) to a input gray scale image. In my ...
2
votes
1answer
88 views

Recognition of household objects ( image processing, pattern recognition ) using wide lens?

Camera setup: We have setup some stereo cameras in a living apartment. That is, the indoor environment is monitored. With the stereo cameras, wide lens (3.5mm) are used to cover a big volume. The ...
1
vote
1answer
98 views

3d CT segmentation

It's my first attempt at 3D analysis. I am trying to segment a 3D CT data. My case study is very simple: trying to segment circular objects in my data. Do you have any suggestions on how to achieve ...
-1
votes
2answers
87 views

obtain the position of an object in an image [closed]

I would like to compare the positions of the same object in 2 different pictures and get the difference between the positions in in terms of x and y coordinates.Suppose I have a picture with a square ...
9
votes
2answers
328 views

Detecting a filled glass object

I've been sent here from this question in stackoverflow, please excuse me if the question comes too specific and it's not in the manners in here:) The task is to find a glass with specific liquid in ...
3
votes
3answers
154 views

Low recognition rates using GMM for image classification

I want to use GMM for image classification. So, I have extracted SIFT features from each image in the corpus. Then, I apply EM algorithm to learn GMM parameters (I have coded it in matlab). I get ...
3
votes
1answer
50 views

object level sensor fusion for multiobject tracking

I want to fuse objects coming from several sensors, with different (sometimes overlapping!) fields of view. Having object lists, how can I determine whether some objects observed by different sensors ...
0
votes
1answer
109 views

Basic Algorithm for Image Classification

I have been trying to implement image classification by extracting facial features. I tried starting with some already established methods like Multi Kernel Approach, using Independent Component ...
1
vote
0answers
38 views

Searching for image samples in order to create custom classifier

I am training a classifier of my own, specifically for detecting body arms. According to the training process I have to provide positive samples and negative samples, wich will be used in the ...
2
votes
2answers
591 views

Training custom classifiers using trainCascadeObjectDetector

Is there any good documentation about training your own classifiers(with examples included) different from this one provided by MathWorks. Thanks in Advance
6
votes
1answer
109 views

Vehicle segmentation and tracking

I've been working on a project for some time, to detect and track vehicles in video captured from UAV's, currently I am using an SVM trained on bag-of-feature representations of local features ...
1
vote
1answer
84 views

Alternative to support vector machine?

I have to make comparison between 155 image feature vectors. Every feature vector has got 5 features. My image are divided in 10 classes. Unfortunately for using support vector machine i need at ...
1
vote
1answer
133 views

Object Classification using pyramid match kernel

I have been reading up on the pyramid match kernel as an alternative to using the bag-of-words model for object classification using a SVM. The bag-of-words model provides a model for transforming a ...
1
vote
0answers
109 views

Evaluation of Keypoint Detector and Feature Descriptor Combos for Vehicle Detection

I am currently doing a research project into the effectiveness of different keypoint detector and feature descriptor combinations for the task of vehicle detection. At the moment I am using a SVM for ...
4
votes
0answers
565 views

What is a good distance measure for matching SIFT descriptors depending on the distribution of their noise?

I have read some papers about distance measures like Euclidean, Manhattan or Chi-Square for matching gradient based image descriptors like those computed from the SIFT Algorithm (128-D vectors). Most ...
3
votes
1answer
512 views

Image Matching on iOS

Was recommended to migrate this question from SO. I am building an iOS app that, as a key feature, incorporates image matching. The problem is the images I need to recognize are small orienteering ...
8
votes
3answers
260 views

Gesture recognition using only simple techniques

I'm following a computer vision course and I have this exercise: write a program that, given an hand image, it can recognize if the hand is open, closed, in a punch, or holding an "ok" posture, using ...
4
votes
0answers
217 views

How to construct descriptors for irregularly shaped image patches

As hinted in this answer, Perceptual hashing is a way to ascribe comparable measures (hashes) to images (rectangular patches). The images do not need to be the same size, and can be slightly ...
3
votes
2answers
137 views

Is there any fast algorithm to compute the most similar rectangular regions in two images?

I am working on a pattern recognition problem to find two most similar rectangular regions in two given images. Specifically, I have two 2D (gray) images of the same sizes $I_A$ and $I_B$. Denote an ...
2
votes
1answer
62 views

Methods for searching a large face database

I have a large face database, and I want to search through it. For example, if I input a new face image, the system would return the best N similarities. I know that PCA, LDA, and Procrustes analysis ...
7
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3answers
2k views

Scale and Rotation invariant feature descriptors

Can you list some scale and rotational invariant feature descriptors for use in feature detection. The application is for the detection of cars and humans in video captured by a UAV, using a ...
-1
votes
2answers
368 views

Classification of Objects from a video/Image ( human,animals,others(cars etc.,) )

Moved from here SO Link. Hi I am new to image processing field. My project is to classify the objects in an image/Video. The input is an image/video from surveillance camera. I should classify the ...
7
votes
2answers
891 views

Pedestrian counting algorithm

Currently I am developing a pedestrian counter project (using OpenCV+QT on Linux). My idea about the approach is: Capture Frames Do Background Subtraction clear noises (erode, dilate) find blobs ...
4
votes
1answer
405 views

How are Object Recognition and Content-based Image Retrieval interlinked?

I need help on understanding the linkage between Object Recognition and Content-based Image Retrieval. Does OR use CBIR to find similar objects with the help of algorithms like SIFT etc or does CBIR ...
6
votes
3answers
2k views

OpenCV detectin skin colour invariant with illumination changes

I have to capture skin colour independent of illumination. I used the following criteria(using hsv and rgb) but it ain't working: ...
1
vote
2answers
2k views

Object Recognition using bag of features using matlab [closed]

I want to write a MATLAB program for simple object recognition using bag of features. In short, I want to first extract the features from an image, create a visual library using those features, then ...
8
votes
1answer
1k views

Good features / algorithms for recognizing car-models in images

I have a question concerning object recognition, especially recognizing car-models! I am at the beginning of a work about identifying the same car-model in different images. At the moment I think one ...