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Questions tagged [object-recognition]

The computer vision task of finding and identifying objects in an image or video sequence

The computer vision task of finding and identifying objects in an image or video sequence is often conducted consistent with one of two approaches:

  • Appearance-based methods

    • Use example images (called templates or exemplars) of the objects to perform recognition

    • Objects look different under varying conditions:

  • Feature-based method

    • a search is used to find feasible matches between object features and image features.

    • the primary constraint is that a single position of the object must account for all of the feasible matches.

http://en.wikipedia.org/wiki/Outline_of_object_recognition

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Is there a more efficient way than a CNN for object recognition if only one object needs to be recognized?

It appears that currently the industry standard for object recognition is a CNN. However, if a system only needs to identify one type of object (ie people), is there a less resource intensive way to recognize the given object (maybe SVM or similar…
lemones
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Train Faster RCNN on Custom Dataset

I am trying to run Py-Faster-RCNN for 2 class problem say, obj1 and obj2. I have stored the data in Pascal format. I also changed the number of output in last layers of the caffe definition to 3 ( i.e. 2 + BG ) and 12 ( 4 * 3 ). For some reasons,…
user3402601
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What is best Real Time algorithms for image segmentation and object detection (indoor environment)?

I want to segment indoor area and find objects. Then, I want to use stereo vision to find Cartesian position of objects. The final goal is picking objects on a table (and controlling the trajectory) by a robot. Example of object: chair, table, pen,…
some1
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SIFT Feature Extraction for 1500 images

I have to extract sift features of a dataset containing 1500 images that will be used later for Bag of Words. The result on one image has for example 3168 features needing MB of memory. Is saving all the features only the way? As each image results…
wannabegeek
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Best architecture for object recognition

I'm evaluating the options of using HTM (hierarchical temporal memory) and CNN (convolutional neural network) for object recognition. Which architecture (model) would is most appropriate in this case?
afeefa
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training the area learning in project tango with other data sources

Is it possible to train the area-learning module in a project tango device with other data than the one automatically input through the sensors? I am asking because I want to teach the area algorithm a preexisting 3D model, thereby making object…
Carsten Bak Larsen
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How to recognize numbers from the images detected by haar classifier

I trained a haar cascade which is able to detect speed limit traffic signs. Now I am wondering how to recognize numbers from the images detected. Here are few examples of detected images: I've got an algorithm which can recognize numbers only in…
Azik
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Deep learning for pattern recognition for clothes and shoes

I am newbie in deep learning, so not sure about the ability of deep learning. I am wondering if it is possible to use DL for pattern recognition. More specific, given many images containing different people wearing the same clothes or shoes. Can we…
Fiong
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image_window is not found Dlib Python package on MS Windows

I am currently dealing with object recognition and decided to use Dlib, however python package cannot find the image_window() function on MS Windows machine. The example code: import dlib from skimage import io detector =…
sxanus
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Real time motion object detection/recognition on webcam stream in javascript and webgl

I have just started a school assignment where they want me to detect and recognize objects in a webcam stream, in an webgl application. It will be added to an already existing javascript plugin. It is important that this will be done in real time…
Jonas Gerling
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Point cloud object recognition with FPFH + svmlight

I am doing a project for stair recognition which combines point cloud library(PCL) and svmlight. Now I am able to segment the point cloud, clustering and extract feature using fast point feature histogram(FPFH). The problem is: How can I transform…
Dan Chen
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ORB - object needs to be very close to camera

I have a program that takes a video feed from RSTP and checks for an object. The only problem is that the object needs to be about 6" from the camera but when I use a wired webcam the object can be a few feet away. Both camera are transmitting at…
Colin747
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how to reduce wrong recognition using cascade classifier

Hello I'm tring to recognize a car using cascade classifier, android and opencv library. My problem is that my phone is marking almoust everything as a car. I've created my code based on: https://www.youtube.com/watch?v=WEzm7L5zoZE and face…
Fixus
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OpenCV: HSV inRange returns binary image squashed and repeated

I'm having a bit of trouble with an image that I'm converting for colour recognition. The function looks like this: void PaintHSVWindow(cv::Mat img){ cv::Mat HSV, threshold; cvtColor(img, HSV, COLOR_BGR2HSV); inRange(HSV, cv::Scalar(HMin, SMin,…
TFSM
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Object Recognition by Outlines vs Features

Context: I have the RGB-D video from a Kinect, which is aimed straight down at a table. There is a library of around 12 objects I need to identify, alone or several at a time. I have been working with SURF extraction and detection from the RGB…
Joe Beuckman
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