Papers Object Tracking
“Object Tracking” 태그가 달린 논문 2,087편 · 필터 해제
FlowTrack: Point-level Flow Network for 3D Single Object Tracking
3D single object tracking (SOT) is a crucial task in fields of mobile robotics and autonomous driving. Traditional motion-based approaches achieve target tracking by estimating the relative movement of target between two…
3D Single Object TrackingAutonomous DrivingObject TrackingThe Solution for the ICCV 2023 Perception Test Challenge 2023 -- Task 6 -- Grounded videoQA
In this paper, we introduce a grounded video question-answering solution. Our research reveals that the fixed official baseline method for video question answering involves two main steps: visual grounding and object tra…
Grounded Video Question AnsweringObject TrackingQuestion AnsweringVideo Question Answering+1Uni-DVPS: Unified Model for Depth-Aware Video Panoptic Segmentation
We present Uni-DVPS, a unified model for Depth-aware Video Panoptic Segmentation (DVPS) that jointly tackles distinct vision tasks, i.e., video panoptic segmentation, monocular depth estimation, and object tracking. In c…
Autonomous DrivingDecoderDepth-aware Video Panoptic SegmentationDepth Estimation+7Engineering an Efficient Object Tracker for Non-Linear Motion
The goal of multi-object tracking is to detect and track all objects in a scene while maintaining unique identifiers for each, by associating their bounding boxes across video frames. This association relies on matching …
motion predictionMulti-Object TrackingMultiple Object TrackingObject TrackingDroBoost: An Intelligent Score and Model Boosting Method for Drone Detection
Drone detection is a challenging object detection task where visibility conditions and quality of the images may be unfavorable, and detections might become difficult due to complex backgrounds, small visible objects, an…
Objectobject-detectionObject DetectionObject TrackingPoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators
We present PoliFormer (Policy Transformer), an RGB-only indoor navigation agent trained end-to-end with reinforcement learning at scale that generalizes to the real-world without adaptation despite being trained purely i…
DecoderObjectObject TrackingeMoE-Tracker: Environmental MoE-based Transformer for Robust Event-guided Object Tracking
The unique complementarity of frame-based and event cameras for high frame rate object tracking has recently inspired some research attempts to develop multi-modal fusion approaches. However, these methods directly fuse …
AttributeContrastive LearningDisentanglementObject TrackingStreamMOTP: Streaming and Unified Framework for Joint 3D Multi-Object Tracking and Trajectory Prediction
3D multi-object tracking and trajectory prediction are two crucial modules in autonomous driving systems. Generally, the two tasks are handled separately in traditional paradigms and a few methods have started to explore…
3D Multi-Object TrackingAutonomous DrivingMulti-Object TrackingObject Tracking+2Basketball-SORT: An Association Method for Complex Multi-object Occlusion Problems in Basketball Multi-object Tracking
Recent deep learning-based object detection approaches have led to significant progress in multi-object tracking (MOT) algorithms. The current MOT methods mainly focus on pedestrian or vehicle scenes, but basketball spor…
Multi-Object TrackingObjectobject-detectionObject Detection+1BiTrack: Bidirectional Offline 3D Multi-Object Tracking Using Camera-LiDAR Data
Compared with real-time multi-object tracking (MOT), offline multi-object tracking (OMOT) has the advantages to perform 2D-3D detection fusion, erroneous link correction, and full track optimization but has to deal with …
3D Multi-Object TrackingMulti-Object TrackingMultiple Object TrackingObject+2The Progression of Transformers from Language to Vision to MOT: A Literature Review on Multi-Object Tracking with Transformers
The transformer neural network architecture allows for autoregressive sequence-to-sequence modeling through the use of attention layers. It was originally created with the application of machine translation but has revol…
Machine TranslationMulti-Object TrackingObject TrackingTranslationPOPCat: Propagation of particles for complex annotation tasks
Novel dataset creation for all multi-object tracking, crowd-counting, and industrial-based videos is arduous and time-consuming when faced with a unique class that densely populates a video sequence. We propose a time ef…
Crowd CountingMulti-Object TrackingObject TrackingLU2Net: A Lightweight Network for Real-time Underwater Image Enhancement
Computer vision techniques have empowered underwater robots to effectively undertake a multitude of tasks, including object tracking and path planning. However, underwater optical factors like light refraction and absorp…
Image EnhancementObject TrackingVideo EnhancementHierarchical IoU Tracking based on Interval
Multi-Object Tracking (MOT) aims to detect and associate all targets of given classes across frames. Current dominant solutions, e.g. ByteTrack and StrongSORT++, follow the hybrid pipeline, which first accomplish most of…
Multi-Object TrackingObject TrackingVideoVista: A Versatile Benchmark for Video Understanding and Reasoning
Despite significant breakthroughs in video analysis driven by the rapid development of large multimodal models (LMMs), there remains a lack of a versatile evaluation benchmark to comprehensively assess these models' perf…
Anomaly DetectionLogical ReasoningObject TrackingVideo UnderstandingDeep HM-SORT: Enhancing Multi-Object Tracking in Sports with Deep Features, Harmonic Mean, and Expansion IOU
This paper introduces Deep HM-SORT, a novel online multi-object tracking algorithm specifically designed to enhance the tracking of athletes in sports scenarios. Traditional multi-object tracking methods often struggle w…
Multi-Object TrackingMultiple Object TrackingObject TrackingOnline Multi-Object Tracking+1Online Multi-camera People Tracking with Spatial-temporal Mechanism and Anchor-feature Hierarchical Clustering
Multi-camera Multi-object tracking (MTMC) surpasses conventional single-camera tracking by enabling seamless object tracking across multiple camera views. This capability is critical for security systems and improving si…
Multi-Object TrackingObjectObject TrackingAn Online Approach and Evaluation Method for Tracking People Across Cameras in Extremely Long Video Sequence
Multi-camera Multi-Object Tracking has drawn significant attention in recent years due to its critical role in surveillance analytics and related fields. Various challenges including non-overlapping regions varying occlu…
Camera CalibrationDomain GeneralizationMulti-Object TrackingObject TrackingOverlap Suppression Clustering for Offline Multi-Camera People Tracking
Multi-Camera People Tracking is a multifaceted issue that requires the integration of several computer vision tasks such as Object Detection Multiple Object Tracking and Person Re-identification. This study presents a mu…
ClusteringMulti-Object TrackingMultiple Object TrackingObject+5Robust compressive tracking via online weighted multiple instance learning
Developing a robust object tracker is a challenging task due to factors such as occlusion, motion blur, fast motion, illumination variations, rotation, background clutter, low resolution and deformation across the frames…
Multiple Instance LearningObject TrackingVisual Object Tracking