Hi Sameera,
We just detect the humans and get their count. I used hog pedestrian
detection cascade for human detection. Now we are working on Aircraft
detection system. I'm trying to train a cascade using opencv-traincascade.
Thank You.
On Mon, Sep 19, 2016 at 6:40 PM, Sameera Ramasinghe
Hi Anusha,
If you got good accuracies with HOG features, it's quite ok. But generally
OpenCV implementation does not give good detection rates according to my
experience. If you are not satisfied with the accuracies, I'd recommend
using deep features for recognitions, as they have given me good
Hi,
I've been working on human activity recognition for some time now, and
might be able to give some guide lines. I am not very clear on the goal
though. Are you trying to classify actions, or to detect objects?. Action
classification is a red hot research topic these days and quite complex due
Hi Anusha,
Number of positive and negative samples are dependent upon an object which
is trying to train. Becuase if you try to train small object like rectangle
then few positive samples would be enough. If there are more variation in
the object which requires hundreds and even thousands of
Hi Geesara,
I used opencv-trainecascade function to train a cascade, and there is a
function called opencv-createsamples, we can use this to create positive
data set by giving only one positive image. I used this method to create
the positive data set. but the accuracy of the detection is very
Hi Geesara,
+1 for suggesting a cascade classifier(haar-cascade) for this
implementation. With a sufficient number of samples for train using haar
features would provide lesser rate of false positive results. AFAIK using
of a background subtraction[1] method for pre processing can be used to
Hi Srinath,
OpenCV provides us set of interesting tools which can be used to train
classifiers based on our requirements. Some time ago I trained
a classifier[1] and controlled drone in real time. This article explains[1]
in a proper way how to train our own model using haar classifier based on
Anusha, we should try Adaboost as Geesara mentioned ( when we done with
what we are doing).
--Srinath
On Sun, Sep 11, 2016 at 10:52 AM, Anusha Jayasundara
wrote:
> Hi Sumedha,
>
> I just detect the face. I went through few articles about face
> recognition, and I have a
Hi Sumedha,
I just detect the face. I went through few articles about face recognition,
and I have a sample code also, but it is not that much accurate.
Thanks,
On Fri, Sep 9, 2016 at 11:26 AM, Sumedha Rubasinghe
wrote:
> On Fri, Sep 9, 2016 at 11:24 AM, Anusha Jayasundara
*Human Action Recognition using Factorized Spatio-Temporal Convolutional
Networks *http://arxiv.org/abs/1510.00562
On Fri, Sep 9, 2016 at 1:04 PM, Rajith Roshan wrote:
> Hi Anusha,
>
> AFAIK Haar cascade is good to detect humans in still images. It does not
> use the factors
Hi Anusha,
AFAIK Haar cascade is good to detect humans in still images. It does not
use the factors like motion of humans which will be available in a real
time video. Applying haar cascade for the video would process single frame
at a time which will result in delay when processing real time
On Fri, Sep 9, 2016 at 11:24 AM, Anusha Jayasundara
wrote:
> Hi Geesara,
>
> I used Haar full body cascade and HoG pedestrian detection cascade, In
> Haar full body cascade they have mentioned that, upper body detection,
> lower body detection and full body detection is there
Hi Geesara,
I used Haar full body cascade and HoG pedestrian detection cascade, In Haar
full body cascade they have mentioned that, upper body detection, lower
body detection and full body detection is there in the cascade. even
thought it is there, once I tried to use separate upper body
Hi Anusha,
A few suggestions to improve your implementation.
Haar and HoG are used to get visual descriptors which can be used to
describe an image. Then both of them are using boosting classification like
AdaBoost to tune up its performance. When you are using haar-like feature
extraction
Anusha has the people counting from video working through CEP and have a
dashboard. ( Anusha can u send an update with screen shots?). We will also
setup a meeting.
Also seems new Camaras automatically do human detection etc and add object
codes to videos, and if we can extract them, we can do
On Wed, Aug 10, 2016 at 5:01 AM, Pumudu Ruhunage wrote:
> Hi,
>
> It's better to do image/video pre-processing before extracting any usable
> information from images/videos. Reducing the amount of unnecessary
> information in a given image/video is a vital part
>
There is
Hi,
It's better to do image/video pre-processing before extracting any usable
information from images/videos. Reducing the amount of unnecessary
information in a given image/video is a vital part when it comes to
increasing final accuracy. (ex : grayscale transformation/ image
restoration etc.)
Anusha can you send notes about what we did so far to this thread.
On Wed, Aug 10, 2016 at 3:02 PM, Srinath Perera wrote:
> Attached document list some of the initial ideas about the topic. Anusha
> is exploring some of the ideas as an intern project.
>
> Please comment and
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