Algorithms Discussion Boards

Gamma_ace12-Nov-09 15:53

12-Nov-09 15:53

Hello! I have a problem to make a detection, I need to locate multiple objects (people) was planning to use the algorithm of Viola and Jones extended version of Lienhart (included in OpenCV), can I make a massive detection (crowd, each one people) of objects with these algorithms? (I know it is mainly used for face detection) or exist another solution whithin OpenCV?

Can anyone help me? I no need a source code, just help me to choose an algorithm to do this please!

Re: Crowd detection (people), how to?

kaushik_acharya5-Nov-11 20:03

kaushik_acharya

5-Nov-11 20:03

There's an implementation by Irshad Ali & Mathew of people detection using Viola Jones and tracking using particle filter. They have created a Haar cascade of heads to deteck humans.

They have used particle filter implementation by Rob Hess.

All the links can be found in my webpage.
https://sites.google.com/site/learningcomputervision/particle_filter[^]

I have corrected some bugs in Irshad's code and added the modified files as attachment in the webpage.

Regards,
Kaushik

Algorithm to C# [modified]

VS newbie 11-Nov-09 7:05

VS newbie

11-Nov-09 7:05

I'm a newbie and would appreciate it if someone could start me off and guide to on how how can you convert algorithm to C# (probability distribution in Wireless LAN)

Algorithm 1 x= Corr GetLocation (n, S, X, P RM)
Input:
n : Number of samples from each access point.
S : Measured signal strength vectors from k access points (S =(s1, ..., sk)).
Each si, 1 ≤ i ≤ k is a vector containing n samples from access point i.
X : Radio map locations.
RM : Radio map, whereRM[a][x](q) represents the pdf of the average of n signal
strength samples from access point a at location x ∈ X.
Output:
The location x ∈ X that maximizes P(x/S).
1: for i = 1..k do
2: Avg(i) ← average(si)
3: end for
4: Max ← 0
5: for l ∈ X do
6: P ←k
i=1
Avg(
i)+0.5
Avg(i)−0.5
RM[i][x](q) dq
7: if P > Max then
8: x ← l
9: Max ← p
10: end if
11: end for

modified on Wednesday, November 11, 2009 1:28 PM

Re: Algorithm to C#

RichardM111-Nov-09 11:29

RichardM1

11-Nov-09 11:29

This is more a programming question than an algorithm question.
What languages do you know?

Silver member by constant and unflinching longevity.

Collision Detection with a Quad tree

Anthony Mushrow5-Nov-09 16:22

Anthony Mushrow

5-Nov-09 16:22

Just a brief question. In a little demo I've got going I can have up to 300 objects floating around the screen and checking every object against every other object is painfully slow.

Using a quad tree to split the screen up and group the objects greatly speeds up checking for collisions but unfortunately rebuilding the quad tree every frame eats up quite a lot of the performance that you gain from using it.

Does anybody have any idea's on what I could do, bearing in mind that all 300 objects will constantly be moving and are all fairly close together, so trying to only update objects that have moved would cause the entire tree to be jiggled about a little bit, perhaps costing more time that a full rebuild.

My current favourite word is: Sammidge!

-SK Genius

Game Programming articles start -here[^]-

Re: Collision Detection with a Quad tree

Luc Pattyn5-Nov-09 16:40

Luc Pattyn

5-Nov-09 16:40

why use a tree that is bound to become invalid all the time?

I would see the screen as a 2D matrix (say N*N) with N around typical screen size divided by typical object size (and not larger than say 10), so each object typically spans two rows and two columns. Each screen cell could be represented by a List containing references to the objects that (partially) lie inside it, and a timestamp.

One time step would:
- move some objects, checking them against the 2D matrix cells; resulting in possibly removing them from some lists, and possibly adding them to some lists; store current time in cells objects got added to.
- then foreach cell marked with current time, check the listed objects for overlap.

Possible optimization: give each object a list of cells it currently is in; this would speed up the removal step.

Smile | :)

Luc Pattyn

I only read code that is properly indented, and rendered in a non-proportional font; hint: use PRE tags in forum messages

Re: Collision Detection with a Quad tree

ely_bob18-Nov-09 12:05

ely_bob

18-Nov-09 12:05

Alternative solution:
re-structure your "tree" and use a radial(gross) test

radial:

if((dist(a,b)^2-RadiusSqrd)<0)
{
//inside circle might be a collision canidate
}

(pathagarean therum with a bit of inside/outside circle, with small error...) it is fast.

Gross:

or iterativly restructure your list...

public static int blah(point P, point Q)//IComparer
{
     if(P.X>Q.x){ return 1;}
     else if(P.X==Q.x){return 0}
     else{return-1}
}

this way you would only need to "check" against neighbors in the tree structure.

alternativly you could use a float type(but that is basically the radial method of above)

using this method you basically only ever have a few checks,

there is one other way off hand..

I lik eto use the System.Drawing.Region (i forget the name) but it will give the union or difference of two "polygon"(regions) which is on the gpu and crazy fast.. in which case you may be able to do it brute force.. cus it is fast.. if you like this, or need more reference send me a ping and I will scrounge up the code for you.. leaving work --Hurray Smile | :)

order of algorithm

khomeyni4-Nov-09 20:30

khomeyni

4-Nov-09 20:30

in the name of god
hello
how can we solve this problem to find the order of it:
T(n)=sqrt(n)*(T(sqrt(n))+n
order =?
valhamdolelah.