Develop pedestrian rekognition - OpenCv in Java Or Python

€30-250 EUR

Cancelado

Publicado

hace más de 8 años

€30-250 EUR

Pagado a la entrega

Hello there, i urgently need a pedestrian counter, i though bout develop a software from the libraries of OpenCv. I accept any proposition bout any alternative way to count pedestrians from a video and draw them fluxes for a latter export.

ID del proyecto: 8731017

Información sobre el proyecto

7 propuestas

Proyecto remoto

Activo hace 9 años

¿Buscas ganar dinero?

Dirección de email

Beneficios de presentar ofertas en Freelancer

Fija tu plazo y presupuesto

Cobra por tu trabajo

Describe tu propuesta

Es gratis registrarse y presentar ofertas en los trabajos

7 freelancers están ofertando un promedio de €395 EUR por este trabajo

@Yknox

Hello I'm interesting your project very well I'm a Good C++, Java, OpenCV, Math, Algorithm expert. I m quite well experienced in these jobs. Let's go ahead with me I want to service for you continously. Thanks

€750 EUR en 5 días

4,9

(485 comentarios)

8,4

@nabusteam

Hi, we are ready to help. have a strong expertise with face/pattern recognition. Preffer work in C++ or Python. Ready to skype call and discuss your requirements. Regards, Dmytro

€555 EUR en 30 días

5,0

(3 comentarios)

3,8

@hectorroussille

Hello I have been using opencv in several projects as you can see on My profile (Project ROC) . I can help you with this project. i already used several opencv algorithmes. i can do this in Python / C / C++ I look forward to work with you.

€333 EUR en 7 días

4,8

(1 comentario)

0,8

@alexpirine

Hi, I would like to give it a try. I never used OpenCV but I already implemented border recognition algorithms on Matlab from satellite images. Could you please give me samples of input videos ? Why not pictures? Best regards, Alex

€380 EUR en 3 días

0,0

(0 comentarios)

0,0

@Spicyk27

Hello! Your project looks very interesting and could be performed in 5 days maximum( including power point presentation as an extra with explanation to code) and the intense commented code. I have few questions: 1. Do you provide some video for testing the code? 2. Which is the maximum of false positives allowed? Let's say there is dog on video and will be counted as a human? A bit about myself - I'm experienced engineer and performed few big projects in Python and OpenCv for image recognition( the projects were performed for big French company). Looking forward to work with you. Best regards, Ekaterina

€277 EUR en 5 días