Comments (7)
jonperdomo
commented on September 2, 2024
Hi, I will be implementing other parameters soon that should speed it up, see issue #7
from openmht.
ijunglee
commented on September 2, 2024
Hi, I will be implementing other parameters soon that should speed it up, see issue #7
Thank you so much. Look forward to the update.
I also want to know how to set the parameters of gating area, k, q, r, and n.
I tried this test01.csv with one or two subjects in a frame, and the total is 60 frames.
test01.csv
The parameters I used are as follows:
image_area = 422288 # Image width x height in pixels
gating_area = 1 # Gating area for new detections
k = 1 # Gain or blending factor
q = 0.00001 # Kalman filter process variance
r = 0.1 # Estimate of measurement variance
n = 1 # N-scan pruning parameter
However, I got track 0 to 7 in my output file, which is weird.
test01_output.csv
Do you have any ideas how to solve this problem? Thanks a lot!
from openmht.
jonperdomo
commented on September 2, 2024
Hi, below are more details on the parameters, and please browse the paper for specifics on tuning these. I would try increasing K if your measurements have high accuracy, and increasing N for a higher accuracy solution (but slower runtime) as well. I am currently working on adding the Bth and Nmiss parameters which should improve performance as well. I'm also adding the parameters as command-line arguments so you can test different values more easily.
Parameters
Modify parameters by editing the file params.txt:
| Parameter | Description |
|---|---|
| v | The image (frame) area in pixels (Default: 307200). The likelihood under the null hypothesis for an observation becomes the probability of detection (PD) 1/V. |
| dth | Gating area for new detections implemented as the threshold for the Mahalinobis distance d2 between the observation and prediction (Default=1000). |
Kalman filter parameters:
| Parameter | Description |
|---|---|
| k | Gain or blending factor. Higher gain results in a greater influence of the measurement relative to the filter's prediction (Default=0) |
| q | Initial estimate of the process noise covariance (Default=0.00001) |
| r | Initial estimate of the measurement noise covariance (Default=0.01) |
Track tree pruning parameters:
| Parameter | Description |
|---|---|
| n | Go back N frames and prune branches that diverge from the solution. Larger N yields a more accurate solution due to a larger window, but will take a longer time (Default=1). |
| bth | If the number of branches exceeds the number Bth, then prune the track tree to only retain the top Bth branches. |
| nmiss | A track hypothesis is deleted if it reaches Nmiss consecutive frames of missing observations, which are due to occlusion or a false negative. |
from openmht.
jonperdomo
commented on September 2, 2024
I will test with your inputs as well
from openmht.
Engineero
commented on September 2, 2024
Any updates on speeding up the MWIS calculation? Are the new parameters included, and if so how do I specify them?
from openmht.
jonperdomo
commented on September 2, 2024
Still working on this, sorry!
from openmht.
jonperdomo
commented on September 2, 2024
@Engineero I have added two missing pruning parameters from the paper: Bth for setting the maximum number of branches, and Nmiss for the maximum number of consecutive frames with missing observations for a track in commit 5627c53. Please try adjusting these parameters to improve performance.
from openmht.
Related Issues (19)
- Question about missing function in openmht.py? HOT 1
- the order isssue v_ordered(set()) in function of weighted_graph.py HOT 2
- What method was used to find the MWIS？ HOT 1
- plot_tracks update HOT 2
- missing ParameterFile.txt for SampleData HOT 2
- To GPS HOT 5
- Number of Frames HOT 3
- Add support for N-dimensional inputs
- Question about U,V HOT 1
- Value for probability of detection P_D HOT 2
- self.__n_miss counter starting with nmiss instead of 0 HOT 1
- branches_added initialization location HOT 1
- bug of weighted graph HOT 1
- the MWIS part will take a really long time when the number of branches reaches 35 or more. HOT 8
- Can I know the meaning of u and v in the input file? HOT 2
- Meaning of frame column in input and output files HOT 4
- where can i set Bth threshold in the code? HOT 2
- set_edges not properly setting graph_dict HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from openmht.