OPEDD: Offroad Pedestrian Detection Dataset
نویسندگان
چکیده
منابع مشابه
Pedestrian detection on CAVIAR dataset using a movement feature space
This work develops a pedestrian detection system using a feature space based on level lines, called Movement Feature Space (MFS). Besides detecting the movement in the scene, this feature space defines the descriptors used by the classifiers to identify pedestrians. Locations hypotheses of pedestrian are performed by a cascade of boosted classifiers. The validation of these regions of interest ...
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Person detection from vehicles has made rapid progress recently with the advent of multiple highquality datasets of urban and highway driving, yet no large-scale benchmark is available for the same problem in off-road or agricultural environments. Here we present the NREC Agricultural Person-Detection Dataset to spur research in these environments. It consists of labeled stereo video of people ...
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A program that detects people in images has a multitude of potential applications, including tracking for biomedical applications or surveillance, activity recognition for person-device interfaces (device control, video games), organizing personal picture collections, and much more. However, detecting people is difficult, as the appearance of a person can vary enormously because of changes in v...
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Robust, fast object detection systems are critical to the success of next-generation automotive vision systems. An important criteria is that the detection system be easily configurable to a new domain or environment. In this paper, we present work on a general object detection system that can be trained to detect different types of objects; we will focus on the task of pedestrian detection. Th...
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ژورنال
عنوان ژورنال: Journal of WSCG
سال: 2020
ISSN: 1213-6972
DOI: 10.24132/jwscg.2020.28.24