Multimodal object detection via probabilistic ensembling
Object detection with multimodal inputs can improve many safety-critical systems such as
autonomous vehicles (AVs). Motivated by AVs that operate in both day and night, we study …
autonomous vehicles (AVs). Motivated by AVs that operate in both day and night, we study …
[PDF][PDF] Filtered channel features for pedestrian detection.
This paper starts from the observation that multiple top performing pedestrian detectors can
be modelled by using an intermediate layer filtering low-level features in combination with a …
be modelled by using an intermediate layer filtering low-level features in combination with a …
Semantic channels for fast pedestrian detection
Pedestrian detection and semantic segmentation are high potential tasks for many real-time
applications. However most of the top performing approaches provide state of art results at …
applications. However most of the top performing approaches provide state of art results at …
[HTML][HTML] Evidential query-by-committee active learning for pedestrian detection in high-density crowds
The automatic detection of pedestrians in dense crowds has become recently a very active
topic of research due to the implications for public safety, and also due to the increased …
topic of research due to the implications for public safety, and also due to the increased …
Fast multiple objects detection and tracking fusing color camera and 3D LIDAR for intelligent vehicles
For many robotics and intelligent vehicle applications, detection and tracking multiple
objects (DATMO) is one of the most important components. However, most of the DATMO …
objects (DATMO) is one of the most important components. However, most of the DATMO …
Misaligned RGB-Infrared Object Detection via Adaptive Dual-Discrepancy Calibration
Object detection based on RGB and infrared images has emerged as a crucial research
area in computer vision, and the synergy of RGB-Infrared ensures the robustness of object …
area in computer vision, and the synergy of RGB-Infrared ensures the robustness of object …
[HTML][HTML] Face pixel detection using evidential calibration and fusion
Due to legal reasons, faces on a given image may have to be blurred. This may be achieved
by combining several information sources, which may provide information at different levels …
by combining several information sources, which may provide information at different levels …
Using the conflict in Dempster–Shafer evidence theory as a rejection criterion in classifier output combination for 3D human action recognition
In this paper, we propose a comprehensive solution to 3D human action recognition
including feature extraction, classification, and multiple classifier combination. We effectively …
including feature extraction, classification, and multiple classifier combination. We effectively …
Looking at pedestrians at different scales: A multiresolution approach and evaluations
Typically, in a detector framework, the model size is fixed at the size of the smallest object to
be detected, and larger objects are detected by scaling the input image. The information lost …
be detected, and larger objects are detected by scaling the input image. The information lost …
Detect2rank: Combining object detectors using learning to rank
Object detection is an important research area in the field of computer vision. Many detection
algorithms have been proposed. However, each object detector relies on specific …
algorithms have been proposed. However, each object detector relies on specific …