P-DESTRE is a multi-session dataset of videos of pedestrians in outdoor public environments, fully annotated at the frame level by providing one text file for each video file.
The data has been acquired via drones that were flying at between 5.5 and 6.7 meters height, with the camera pitch angles varying between 45º to 90º. Volunteers were mostly in the 18-24 age interval (> 90%), roughly divided into two halves for gender (approx 65% males), and ethnicity (”white” and ”Indian”). About 28% of the volunteers were using glasses, 10% of these were using sunglasses. Data were recorded at 30fps, with 4K spatial resolution (3,840 × 2,160), and stored in ”mp4” format, with H.264 compression.
The P-DESTRE datset has been contructed to help accomplish 4 tasks: pedestrian identification, pedestrian tracking, pedestrial re-identification and pedestrian search.
No associated paper or article found.
The annotation protocol is as following:
| Attribute |
Values |
| Frame | 0,1,.... |
| ID | 0,1,... |
| Bounding
Box |
x,
y, h, w (Top left
column, top left row, height, width) |
| Head
Pose |
flag,
yaw, pitch, roll
(flag=-1: "Not available",
flag=1: "Available")
yaw, pitch and roll given in degrees |
| Gender |
0: Male, 1: Female, 2: Unknown |
| Age | 0: 0-11, 1: 12-17, 2: 18-24, 3: 25-34, 4: 35-44, 5: 45-54, 6: 55-64, 7: >65, 8: Unknown |
| Height | 0: Child, 1: Short, 2: Medium, 3: Tall, 4: Unknown |
| Body
Volume (Weight) |
0: Thin, 1: Medium, 2: Fat, 3: Unknown |
| Ethnicity | 0: White, 1: Black, 2: Asian, 3: Indian, 4: Unknown |
| Hair
Color |
0: Black, 1: Brown, 2: White, 3: Red, 4: Gray, 5: Occluded, 6: Unknown |
| Hairstyle | 0: Bald, 1: Short, 2: Medium, 3: Long, 4: Horse Tail, 5: Unknown |
| Beard | 0: Yes, 1: No, 2: Unknown |
| Moustache | 0: Yes, 1: No, 2: Unknown |
| Glasses | 0: Normal glass, 1: Sun glass, 2: No, 3: Unknown |
| Head
Accessories |
0: Hat, 1: Scarf, 2: Neckless, 3: Cannot see, 4: Unknown |
| Upper
Body Clothing |
0: T Shirt, 1: Blouse, 2: Sweater, 3: Coat, 4: Bikini, 5: Naked, 6: Dress, 7: Uniform, 8: Shirt, 9: Suit, 10: Hoodie, 11: Cardigan, 12: Unknown |
| Lower
Body Clothing |
0: Jeans, 1: Leggins, 2: Pants, 3: Shorts, 4: Skirt, 5: Bikini, 6: Dress, 7: Uniform, 8: Suit, 9: Unknown |
| Feet | 0: Sport Shoe, 1: Classic Shoe, 2: High Heels, 3: Boots, 4: Sandal, 5: Nothing, 6: Unknown |
| Accessories | 0: Bag, 1: Backpack Bag, 2: Rolling Bag, 3: Umbrella, 4: Sport Bag, 5: Market Bag, 6: Nothing, 7: Unknown |
| Action | 0: Walking, 1: Running, 2: Standing, 3: Sitting, 4: Cycling, 5:Exercising, 6: Petting, 7: Talking over the Phone, 8: Leaving Bag, 9: Fall, 10: Fighting, 11: Dating, 12: Offending, 13: Trading |
The dataset can be downloaded here.
Please check the Bechmarks section.
Benchmarks for all four tasks can be consulted here.
The benchmarks also specify the models used, their hyperparameters and the train-validation-test split methodology.
No associated challenges have been found.
Dataset licensed under the CC-BY-NC-SA 4.0 license.