Results 31 to 40 of about 1,101,361 (277)

An Object Detection Using Image Processing In Digital Forensics Science

open access: yesJISR on Computing, 2018
Object detection is one of the most important sectors in digital forensics science. The object detection technique is valuable for a number of purposes for instance: medical diagnosis scanners, traffic monitoring system, airport security examination ...
Kamran Ali Changezi   +1 more
doaj   +1 more source

Object Detection in Videos with Tubelet Proposal Networks

open access: yes, 2017
Object detection in videos has drawn increasing attention recently with the introduction of the large-scale ImageNet VID dataset. Different from object detection in static images, temporal information in videos is vital for object detection.
Kang, Kai   +6 more
core   +1 more source

Enhanced Sparse Detection for End-to-End Object Detection

open access: yesIEEE Access, 2022
In this paper, we propose an enhanced end-to-end object detector based on Sparse R-CNN (EnSparse R-CNN), which aims at backbone, neck and head of object detector.
Yongwei Liao, Gang Chen, Runnan Xu
doaj   +1 more source

Relation Networks for Object Detection

open access: yes, 2018
Although it is well believed for years that modeling relations between objects would help object recognition, there has not been evidence that the idea is working in the deep learning era.
Dai, Jifeng   +4 more
core   +1 more source

Situational object boundary detection [PDF]

open access: yes2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
Intuitively, the appearance of true object boundaries varies from image to image. Hence the usual monolithic approach of training a single boundary predictor and applying it to all images regardless of their content is bound to be suboptimal. In this paper we therefore propose situational object boundary detection: We first define a variety of ...
Uijlings, Jasper, Ferrari, Vittorio
openaire   +2 more sources

Gaseous Object Detection

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence
Object detection, a fundamental and challenging problem in computer vision, has experienced rapid development due to the effectiveness of deep learning. The current objects to be detected are mostly rigid solid substances with apparent and distinct visual characteristics.
Kailai Zhou   +4 more
openaire   +3 more sources

Small Object Detection Based on Deep Learning for Remote Sensing: A Comprehensive Review

open access: yesRemote Sensing, 2023
With the accelerated development of artificial intelligence, remote-sensing image technologies have gained widespread attention in smart cities. In recent years, remote sensing object detection research has focused on detecting and counting small dense ...
Xuan Wang   +4 more
doaj   +1 more source

A comprehensive review on intelligent surveillance systems

open access: yesCommunications in Science and Technology, 2016
Intelligent surveillance system (ISS) has received growing attention due to the increasing demand on security and safety. ISS is able to automatically analyze image, video, audio or other type of surveillance data without or with limited human ...
Sutrisno Warsono Ibrahim
doaj   +1 more source

Pseudo Mask Augmented Object Detection

open access: yes, 2018
In this work, we present a novel and effective framework to facilitate object detection with the instance-level segmentation information that is only supervised by bounding box annotation.
Liang, Shuang   +2 more
core   +1 more source

Seeing Objects as Faces Enhances Object Detection [PDF]

open access: yesi-Perception, 2015
The face is a special visual stimulus. Both bottom-up processes for low-level facial features and top-down modulation by face expectations contribute to the advantages of face perception. However, it is hard to dissociate the top-down factors from the bottom-up processes, since facial stimuli mandatorily lead to face awareness.
Kohske Takahashi, Katsumi Watanabe
openaire   +3 more sources

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