An automotive case study on the limits of approximation for object detection.
Martí CaroHamid TabaniJaume AbellaFrancesc MollEnric MoranchoRamon CanalJosep AltetAntonio CalomardeFrancisco J. CazorlaAntonio RubioPau FontovaJordi ForntPublished in: J. Syst. Archit. (2023)
Keyphrases
- object detection
- case study
- object recognition
- error bounds
- software development
- face detection
- real world
- approximation error
- scene understanding
- object classification
- object class
- pedestrian detection
- lessons learned
- object categories
- approximation algorithms
- multi class
- object segmentation
- computer vision
- human detection
- approximation methods
- deformable part models
- development process
- knowledge management
- object classes
- multiscale
- data mining
- efficient computation
- data sets