… is not visible from the camera or another sensor. Visual … camera by another non-transparent
surface or object that lies between the obstructed region and the image plane of the camera. …

… We also present our own single-image object detection method that uses large synthetic
datasets for training. Using a distributed, parallel learning algorithm, we train from very large …

… , lenses, resolutions and frame rates producing different image qualities. A low quality image
sequence can confuse moving object detection algorithms if they are not well designed and …

… is marked by the white box in the 2D image. The important region indicated by the attention
… head is a discriminative part of a human from camera image (it is difficult to recognize a head …

… Finally, to handle objects that are difficult to detect in point clouds, we introduce an image-…
camera 3D object detection. As shown in Fig. 2, given a LiDAR BEV feature map and an image …

… detect objects in the camera's image stream combined with the UAV's navigation data, the
onboard computer is able to georeference each object detection to … utilizes an object's position …

… plane and onto a perpendicular image plane, and fuses both representations with the camera
image in a neural network for object detection. [16] fuses lidar and camera data in a neural …

… 3D Detection Using Multi-modal Fusion We focus on camera-… object detector are a set of
2D bounding boxes in the image … For k 2D detection candidates in one image can be defined …

… of the challenges in object detection from uncalibrated cameras … exploited to develop distributed
detection algorithms for cameras … relating the image plane of camera i to that of camera j. …

… indicate position of each object in image. Objects can be … object detection using image
segmentation [7], Viola-Jones algorithm for object detection [2], feature-based object detection [8] …