Results 31 to 40 of about 747,764 (277)
On Pairwise Costs for Network Flow Multi-Object Tracking [PDF]
, 2015 Multi-object tracking has been recently approached with the min-cost network flow optimization techniques. Such methods simultaneously resolve multiple object tracks in a video and enable modeling of dependencies among tracks.
Chari, Visesh +3 more
core +1 more source
Online Object Tracking with Proposal Selection [PDF]
, 2015 Tracking-by-detection approaches are some of the most successful object trackers in recent years. Their success is largely determined by the detector model they learn initially and then update over time.
Alahari, Karteek +2 more
core +6 more sources
YOLOV4 Deepsort ANN for Traffic Collision Detection
Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI), 2023 Every collision must be handled right away to prevent further harm, damage, and traffic bottlenecks. Hence, the implementation of a systematic approach for accident detection becomes imperative to expedite response mechanisms.
Arliyanti Nurdin +3 more
doaj +1 more source
, 2015 Most of the current boundary detection systems rely exclusively on low-level features, such as color and texture. However, perception studies suggest that humans employ object-level reasoning when judging if a particular pixel is a boundary.
Bertasius, Gedas +2 more
core +1 more source
Watch and Learn: Semi-Supervised Learning of Object Detectors from Videos
, 2015 We present a semi-supervised approach that localizes multiple unknown object instances in long videos. We start with a handful of labeled boxes and iteratively learn and label hundreds of thousands of object instances.
Hebert, Martial +2 more
core +1 more source
Multiple Component Learning for Object Detection [PDF]
, 2008 Object detection is one of the key problems in computer vision. In the last decade, discriminative learning approaches have proven effective in detecting rigid objects, achieving very low false positives rates. The field has also seen a resurgence of part-based recognition methods, with impressive results on highly articulated, diverse object ...
Dollár, Piotr +4 more
openaire +2 more sources
Joint 3D Proposal Generation and Object Detection from View Aggregation
, 2018 We present AVOD, an Aggregate View Object Detection network for autonomous driving scenarios. The proposed neural network architecture uses LIDAR point clouds and RGB images to generate features that are shared by two subnetworks: a region proposal ...
Harakeh, Ali +4 more
core +1 more source
Remote Sensing, 2023 CubeSats provide a low-cost, convenient, and effective way of acquiring remote sensing data, and have great potential for remote sensing object detection.
Lingyun Gu +4 more
doaj +1 more source
A 3D Object Detection and Pose Estimation Pipeline Using RGB-D Images
, 2017 3D object detection and pose estimation has been studied extensively in recent decades for its potential applications in robotics. However, there still remains challenges when we aim at detecting multiple objects while retaining low false positive rate ...
Guan, Yisheng, He, Ruotao, Rojas, Juan
core +1 more source
Deep Regionlets for Object Detection
, 2018 In this paper, we propose a novel object detection framework named "Deep Regionlets" by establishing a bridge between deep neural networks and conventional detection schema for accurate generic object detection.
Kaiming He +9 more
core +1 more source