Our project is able to detect the objects whether it be the image, video or real time camera access. Fast and accurate object detection being our main focus, we were able to achieve it …

Nov 2, 2024 · In this study, we design and implement real-time object detection and recognition systems using the single-shoot detector (SSD) algorithm and deep learning techniques with …

Jul 11, 2023 · Object detection is a technology for detecting objects in images or videos. In this research, we implemented an object detection system using an omnidirectional camera as a …

• Object verification: How can object models be used to select the most likely object from the set of probable objects in a given image? The presence of each likely object can be verified by …

A Convolutional Neural Network (CNN) is used to detect and identify objects in the field of vision of the stereo camera. Once the objects are detected and identified, their distance from the …

Jun 25, 2024 · To address this gap, we present OS-Det3D (Open-set Camera 3D Object Detection), a two-stage training framework enhancing the ability of camera 3D detectors to …

Aug 15, 2023 · In this paper we first introduce the technical approaches to object detection, both traditional and deep learning-based methods. Then we summarize the main problems and …

Object detection involves detecting the region of interest of an object from a given class of image. Completely different strategies are –Frame differencing, Optical flow, Background subtraction. …

an object of different basic shapes on initial level. Next level will be to detect object having complex shape with the help of feature points. Further level will be to detect a particular object …

Jul 11, 2023 · Color spaces, thresholding, and morphological transformations were used as object detection methods, and the omnidirectional camera configuration transformed the view into a …