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Has anybody seen a resource covering specifically the use of machine vision for locating a human in a room, including cases where they may be partially obscured? I know about OpenCV and other machine vision packages, but I'm looking for a paper/library/code example that focuses solidly on identifying a human in a room; something that is readily integrated into code rather than being a rough idea that would require weeks or months of tweaking or enhancing to do a reasonable job of succeeding at the task. I'd prefer something that does not require binocular vision and can work with a single camera.
First: you should read this about human detection. Then you can find/use opencv code implementing the training step of this kind of detector. You will need to access to a database for training like INRIA Person dataset.
Second: if you need to handle partial obstruction, you may need to implement a human body tracker that can handle this problem. Particle filter could do the work.
If you have problems with implementation feel free to ask more specific questions.
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I'm working on Sbire which use google speech-api. There is a some things which I don't like with this api.
First, this is not in streaming mode. It receive small audio files but there is no real pipes.
Secondly, it's not precise. Google does not record our voice to learn our accent. I think it's very important to have a good quality of recognition.
I'm looking for a free api or an open-source tool.
Actually there is a streaming mode, but it requires an API key. Here is an example of how to use it: http://mikepultz.com/2013/07/google-speech-api-full-duplex-php-version/
If you want something that learns, you'll need to create a neural network to handle the data. The best open source tool, however, is CMUSphinx or pocketSphinx(a mini version of CMUSphinx). Here is a link to that tool: http://sourceforge.net/p/cmusphinx/code/HEAD/tree/trunk/
The best part of CMU-Sphinx, however, is that you can set a dictionary of keywords. Instead of outputting gibberish, you can have it ONLY output those commands and finds the command closest to what it thinks you are saying. This make speech recognition incredibly accurate, but only work for a small set of words.
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Good evening,
I'm working on a project with Kinect and I need to perform a gender-recognition using the voice information caught by the microphone of the sensor.
The recognition could also be text-based, i.e. the sentence said by the user could always be the same. I "just" need the binary answer male/female.
I've checked the quite popular open-source Sphinx but I can't understand if it could be used for my needs.
Any idea of what I could use?
Thanks in advance.
For sake of completeness, finally I solved the recognition task without analyzing the voice input.
Gender can be detected with an acceptable precision also by learning and then classifying visual biometric traits. I used speech recognition only as "interface" to activate the demo.
There are several ways to achieve this. You can track pitch (lower pitch values will be male, otherwise female). Or try to build a GMM (Sphinx cannot do this, but HTK can), with one model for male, other for female and another to children.
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I am working on a Graduation Project and wondering if anyone can help me with: Benchmark data to load and test on my application.
We are willing to compare between different designs and implementations of different database management systems, and I thought we shall use a standard data set for this task.
Is there any? and if yes, would you kindly show me where to find some, and if there are measures to consider, that would be really helpful.
Thanks in advance.
There are many standard benchmarks. The most famous are the TPC Benchmarks:
http://www.tpc.org/information/benchmarks.asp
Moreover, some researchers publish specific benchmarks. For example, O'Neil et al. avec proposed the Star Schema Benchmark. You need a small and free program to generate the data.
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I used to be a frequent player on hubdub.com, where you could 'predict' (or bet on) the news. Hubdub sadly closed in April, but I've been considering something on a much smaller scale for a different domain.
My question is - are there any working prediction software clone tools out there that you can easily configure, setup for many users, many topics and scales well? Like pligg is to digg.com, I'm after prediction market software.
I've looked at Zocalo, but it's a bit too academic. Bookmaker has too many bugs open and hasn't been developed in years, and Prediction Market and Betting System are still in their infancy and don't have working websites successfully based on their software as an example.
Any suggestions welcomed, if I have to code the whole thing up myself fine, but I'd hate to be reinventing the wheel...
There is a module for drupal, but the development seems to have stalled. Anyway, from what I have been looking at, there are no viable off-the-shelf open source prediction market products.
There are several Drupal based solutions, but I believe they are all in various states of disrepair. I wrote a post about them a while ago and it's still pretty accurate. Certainly one or more of them could be a basis for great work.
There is also Zocalo which has been going relatively strong since 2005. Zocalo is, however, a Java based application which, in my opinion, makes it inaccessible to most people who "just want to setup a site."
http://ideafutures.sourceforge.net/
Relatively old and not active, but the code is there (PERL)
Runs http://ideosphere.com/ (probably the oldest prediction market on the Web)
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Is there a decent website or service out there where developers can propose a new idea for an open source project (regardless of language) and have the community vote it up / down, form teams, and do everything that precedes writing the first line of code?
There is the SomeBodyMakeThis reddit. Also, project sites like SourceForge allow you to create a project which is in the "planning" stage. Often, this is used by people who think they have a good idea and want somebody else to make it for them.
Kind of like Kickstarter (for funding), SourceForge (for hosting), or an IdeaStorm (for brainstorming and community feedback)? The Apache Foundation, or the Horde project (for incubating a plethora of related projects)? It really depends on to what your idea relates. Try joining one of the relevant extant open-source communities and sounding off on your idea.