Visualize trajectory in picture

[ot4f]

Hi, great work!
I have some problems when I try to visualize the trajectory in picture like Figure 4 in your paper. I got the original video (such as seq_eth.avi) and extract frames at 0.4s interval. Then I want to map the trajectory x,y back to the corresponding frame pixel coordinate. For example, Frame 840 for eth dataset, the x,y,z of pedestrian 2 is (9.57,6.24, 0)，then I use the inverse of homography matrix stored in H.txt to get the frame coordinates (285, 188). But in the 840th frame there is no person at around (285,188) (I assume that the up left is the (0,0) of the Frame). Hope to get your help, Thank you !

[abduallahmohamed]

Hi,
Please see our work "Social-Implicit" for better visualization.
Some frames without pedestrians were omitted.

[Jayoprell]

Hi, great work!
I have some questions:

1. the data format [frame_id, pedestrian_id, x, y] , how are the x and y obtained? I want to know this because I want to get train data from new video, but I don't know how to get this coordinate.
2. the above data [frame_id, pedestrian_id, x, y], how can I map x,y back to the frame coordinates? is this formular right:
   pixel_coordinate = (x, y) * inverse(H) ?
   Hope to get your help. Thanks!

[abduallahmohamed]

Thanks!
1- Manually annotated. See the ETH-UCY datasets source paper about this.
2- As you said using Homography matrix. You can find it within the datasets source as in (1)

[Jayoprell]

Thanks for the help.

[Pradur241]

pt_world = np.dot(H_zara02_inv, pt_pixel_resized)

I recently successed with this code. Hope it helps.

[RedOne88]

Hi,
I find your work very interesting. I have a question that has been previously asked. Do you have a code that allows testing the model on a video, for instance, 'seq_eth.avi' as shown in your Figure 4? I have managed to execute your code, and I am eager to see the tracking predictions on real images. I have searched through your work "Social-Implicit", but I couldn't find what I am looking for anywhere.