A direct approach for object detection with catadioptric omnidirectional cameras
MetadataShow full item record
In this paper, we present an omnidirectional vision-based method for object detection. We first adopt the conventional camera approach that uses sliding windows and histogram of oriented gradients (HOG) features. Then, we describe how the feature extraction step of the conventional approach should be modified for a theoretically correct and effective use in omnidirectional cameras. Main steps are modification of gradient magnitudes using Riemannian metric and conversion of gradient orientations to form an omnidirectional sliding window. In this way, we perform object detection directly on the omnidirectional images without converting them to panoramic or perspective images. Our experiments, with synthetic and real images, compare the proposed approach with regular (unmodified) HOG computation on both omnidirectional and panoramic images. Results show that the proposed approach should be preferred.
Showing items related by title, author, creator and subject.
Design and synthesis of rhodamine based fluorescent and colorimetric sensors for the detection of gold ions Karakuş, Erman (İzmir Institute of Technology, 2017-07)The usage of chemosensors for the detection of heavy and transition metal ions is prevalent. Because these metal ions play crucial roles in living systems and have extremely toxic effects on the environment. Among these ...
Gene regulation modulates RNA expression via transcription factors. Posttranscriptional gene regulation in turn influences the amount of protein product through, for example, microRNAs (miRNAs). Experimental establishment ...
MicroRNAs are crucial for post-transcriptional gene regulation, and their dysregulation has been associated with diseases like cancer and, therefore, their analysis has become popular. The experimental discovery of miRNAs ...