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: CoRR (2023)
Keyphrases
- object detection
- case study
- face detection
- closed form
- computer vision
- object class
- object recognition
- pedestrian detection
- automotive industry
- scene recognition
- lessons learned
- object classification
- object categories
- real world
- scene understanding
- human detection
- approximation methods
- development process
- multi class
- decision trees
- background subtraction
- object segmentation
- business process
- knowledge management
- objective function
- relative error
- bayesian networks
- approximation ratio
- real time