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I. introduction

The ever-improving computational prowess of mobile devices has enabled the combination of so many previously separated functions: the cell phone is now also a TV, a camera, a wallet full of credit cards, etc. We envisioned a phone camera that could go beyond simply capturing images and videos: with the help of back-end algorithms, this photography application will also be able to capture the image at the perfect moment of a person or multiple people jumping in the air.

Ii. motivation

More often than not, when we try to capture our excitement with a photo, we choose to capture the gesture that most effectively conveys the message: smiley face, hands in the air, feet off the ground. Yet we can only stay so long in mid-air that the perfectly-timed photo proves to be a hard task. That's why we develop this algorithm today, one that captures the perfect photo of the feet-off-the-ground ballerinas, cheerleaders, and supermen. On the other hand, we haven’t been able to find an application on either Apple App store or Android App store that does the similar trick.

Iii. goal

The goal of this application is to capture the whole process of jumping and landing as a series of photos and then chooses the frame(s) where a certain reference point on the object (eg. foot) is at a certain coordinate (eg. highest off the ground) in the photo. Among the frames chose, this algorithms will again compare the quality of the image and choose the clearest image. The algorithm will cope with both one person jumping, capturing the clear frame that the feet are at the highest point of the ground, as well as multiple people jumping together, capturing the clear frame that all people’s distance from the group are well balanced and aligned. After the selection is accomplished, extra frames will be deleted to reduce RAM occupancy. Besides, we will integrate the algorithm into the embedded system of an ios device and reach maximum performance in terms of both memory and speed.

Iv. potential problem

  1. The current algorithm that focuses on recognition might not be able to capture a rapidly moving target, thus potentially leaving important frames out of consideration.
  2. Recognition might be distracted by unwanted objects within the frame.
  3. Complicated image recognition algorithm might pose a challenge to the processing power of cell phone.

V. summary of approach

The input to our program could be either a photo stream or a video featuring a group of people jumping. If there are multiple people jumping in the image, we would also ask the user to specify the number of jumpers. First of all, the program would run face and upper body detection to locate the people in the image. However, since the face/body detection algorithm is not perfect, non-human components might be recognized as faces and real faces might go undetected. To deal with the problem, we have to perform a denoising process, which comes in two parts: the first would be to eliminate the background noise that is identified as faces (false positives), and the other would be to estimate the position of unrecognized faces (false negatives). With noise properly reduced, we would expect the program to recognize in each image exactly same number of faces as the number of jumpers specified by the user. Then, we would plot the position-time and velocity-time curves for everyone’s face, and selects the frame in which the jumping height is the highest and/or the velocity is nearly 0 as the best image. In the case that multiple people jump, we would recognize the frame in which everyone is in the air and their average jumping height is the largest as the optimal shot. The program selects the frame that everyone jumps the best i.e. each person is around the highest point in his/her projectile and there is no blur in the image. The back-end algorithms will continuously track the relative position of the person by locating his/her face and body within each frame and then calculates the relative displacement of the tracked object from frame to frame. As we know from Newton’s Law, an object at the peak of its projectile has 0 vertical velocity. In this case, a very small relative displacement of face/body indicates the possibility that the person is at the highest point of his projectile, thus suggesting such frame as a candidate for output.

Questions & Answers

so some one know about replacing silicon atom with phosphorous in semiconductors device?
s. Reply
how to fabricate graphene ink ?
for screen printed electrodes ?
What is lattice structure?
s. Reply
of graphene you mean?
or in general
in general
Graphene has a hexagonal structure
On having this app for quite a bit time, Haven't realised there's a chat room in it.
what is biological synthesis of nanoparticles
Sanket Reply
what's the easiest and fastest way to the synthesize AgNP?
Damian Reply
types of nano material
abeetha Reply
I start with an easy one. carbon nanotubes woven into a long filament like a string
many many of nanotubes
what is the k.e before it land
what is the function of carbon nanotubes?
I'm interested in nanotube
what is nanomaterials​ and their applications of sensors.
Ramkumar Reply
what is nano technology
Sravani Reply
what is system testing?
preparation of nanomaterial
Victor Reply
Yes, Nanotechnology has a very fast field of applications and their is always something new to do with it...
Himanshu Reply
good afternoon madam
what is system testing
what is the application of nanotechnology?
In this morden time nanotechnology used in many field . 1-Electronics-manufacturad IC ,RAM,MRAM,solar panel etc 2-Helth and Medical-Nanomedicine,Drug Dilivery for cancer treatment etc 3- Atomobile -MEMS, Coating on car etc. and may other field for details you can check at Google
anybody can imagine what will be happen after 100 years from now in nano tech world
after 100 year this will be not nanotechnology maybe this technology name will be change . maybe aftet 100 year . we work on electron lable practically about its properties and behaviour by the different instruments
name doesn't matter , whatever it will be change... I'm taking about effect on circumstances of the microscopic world
how hard could it be to apply nanotechnology against viral infections such HIV or Ebola?
silver nanoparticles could handle the job?
not now but maybe in future only AgNP maybe any other nanomaterials
I'm interested in Nanotube
this technology will not going on for the long time , so I'm thinking about femtotechnology 10^-15
can nanotechnology change the direction of the face of the world
Prasenjit Reply
At high concentrations (>0.01 M), the relation between absorptivity coefficient and absorbance is no longer linear. This is due to the electrostatic interactions between the quantum dots in close proximity. If the concentration of the solution is high, another effect that is seen is the scattering of light from the large number of quantum dots. This assumption only works at low concentrations of the analyte. Presence of stray light.
Ali Reply
the Beer law works very well for dilute solutions but fails for very high concentrations. why?
bamidele Reply
how did you get the value of 2000N.What calculations are needed to arrive at it
Smarajit Reply
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Source:  OpenStax, Elec 301 projects fall 2015. OpenStax CNX. Jan 04, 2016 Download for free at https://legacy.cnx.org/content/col11950/1.1
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