Thief Detection : Person's Behavior / Actions

[neha07kumari]

Thief Detection : Person's Behavior / Actions

[Vanshikagoel0012]

oka

[Vanshikagoel0012]

oka will submit it by tommorrow

[kkg2001]

I want to work on this issue #9

[Vanshikagoel0012]

Hey i want to take this pr.

[prathimacode-hub]

This is an issue not a PR. Ok, so tell me your approach and participant id to get it assigned. @Vanshikagoel0012

[Vanshikagoel0012]

okay, I will use unsupervised learning
participant id-1093

[prathimacode-hub]

Ok, issue assigned to @Vanshikagoel0012. As mentioned, discuss with collaborator assigned to issue number - 6 and work accordingly since issue is interlinked. Add 1-2 inputs which are person's behavior and actions to get this done. @Vanshikagoel0012

[prathimacode-hub]

Its been nearly more than 20days. Kindly update the progress and it should be done by now. If you're stuck anywhere, we're here to help out. @Vanshikagoel0012

[Vanshikagoel0012]

Hey @prathimacode-hub can you please give me layout how to get started on this as this don't have any dataset

[Vanshikagoel0012]

??? @prathimacode-hub

[prathimacode-hub]

Yes, this issue is continuation of person who is detected as thief or not. Based on intruder's action, we detect him to be a thief. Especially a thief uses a short cut methods or use unsual path, get tensed. Here we can also include computer vision too to see facial recognitions @Vanshikagoel0012

[prathimacode-hub]

So you focus on behavior and actions as unusual path is already done. You can get any public datasets which has facial recognitions that are relevant to this context. @Vanshikagoel0012

[Vanshikagoel0012]

oka,thank you!

[Vanshikagoel0012]

I just have to upload a python file and dataset right?

[prathimacode-hub]

Yes, actually you have to integrate in the existing code and dataset is uploaded separately in respective space. @Vanshikagoel0012

[Vanshikagoel0012]

I am not able to find dataset for this and where I have to integrate I didn't get it please explain

[prathimacode-hub]

You can get it in Kaggle. There are facial recognition datasets. Download them and filter it according to behavioral actions that might help us in this project. Integrating means into the main file. Its all a single project so it should be done in the existing file. Create your application separately and embed it into main file. You can refer to the existing code. @Vanshikagoel0012

[Vanshikagoel0012]

So basically I have to get a dataset from anywhere and then train it for facial recognition and then add the python file only to the main file right?

[prathimacode-hub]

Yes exactly. @Vanshikagoel0012

[Vanshikagoel0012]

hey, I have submitted my pull request please have a look and tell me if any changes you want @prathimacode-hub