Results 1 to 10 of about 121,728 (258)
Some of the next articles are maybe not open access.
Subgraph decomposition for multi-target tracking
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015Tracking multiple targets in a video, based on a finite set of detection hypotheses, is a persistent problem in computer vision. A common strategy for tracking is to first select hypotheses spatially and then to link these over time while maintaining disjoint path constraints [14, 15, 24].
Siyu Tang 0001 +3 more
openaire +2 more sources
Signature-driven multi-target tracking
2010 13th International Conference on Information Fusion, 2010Tracking multiple maneuvering targets remains a challenge because of clutter and spurious targets. We propose a Signature-Driven multiple target Tracking (SDT) method which fuses target data in spectral, spatial and temporary spaces to form signatures of targets.
Jian-Kang Wu +4 more
openaire +2 more sources
Fusion gain in multi-target tracking
2010 13th International Conference on Information Fusion, 2010This paper introduces an information quality metric and a definition for fusion gain in multi-target tracking systems. We validate the reasonableness of these quantities and illustrate the relationship between fusion gain, scenario difficulty, and tracker effectiveness.
Stefano Coraluppi +2 more
openaire +2 more sources
A Multi Target Track Before Detect Application
2003 Conference on Computer Vision and Pattern Recognition Workshop, 2003This paper deals with a radar track before detect application in a multi target setting. Track before detect is a method to track weak objects (targets) on the basis raw radar measurements, e.g. the reflected target power. In classical target tracking, the tracking process is performed on the basis of pre-processed measurements, that are constructed ...
Yvo Boers +4 more
openaire +2 more sources
Single camera multiplexing for multi-target tracking
Proceedings 10th International Conference on Image Analysis and Processing, 2000This paper considers the problem of designing a real-time surveillance system, equipped with a single camera on a pan/tilt platform, to track multiple moving targets within the camera's field of regard. The objective is to maintain motion trajectory information of as many of these targets as possible, and for as long as possible. Because the camera can
Chiraz BenAbdelkader +2 more
openaire +2 more sources
Multi-target Tracking in Crowded Scenes
2011In this paper, we propose a two-phase tracking algorithm for multi-target tracking in crowded scenes. The first phase extracts an overcomplete set of tracklets as potential fragments of true object tracks by considering the local temporal context of dense detection-scores. The second phase employs a Bayesian formulation to find the most probable set of
Jie Yu, Dirk Farin, Bernt Schiele
openaire +1 more source
Multi-target tracking by detection
2016 International Conference on Audio, Language and Image Processing (ICALIP), 2016Aiming at the problem how to express relevant relationship between multiple targets, we propose an approach based on the tracking-by-detection (TBD) strategy, where detections from the HOG classifier are regarded as image evidence. Focusing on the issue of localization uncertainty, data association based on greedy heuristics is executed iteratively to ...
Qiaoling Zeng, Gongjian Wen, Dongdong Li
openaire +1 more source
Privacy Preserving Multi-target Tracking
2015Automated people tracking is important for a wide range of applications. However, typical surveillance cameras are controversial in their use, mainly due to the harsh intrusion of the tracked individuals’ privacy. In this paper, we explore a privacy-preserving alternative for multi-target tracking.
Anton Milan +3 more
openaire +2 more sources
Multi-target tracking on confidence maps: An application to people tracking
Computer Vision and Image Understanding, 2013We propose a generic online multi-target track-before-detect (MT-TBD) that is applicable on confidence maps used as observations. The proposed tracker is based on particle filtering and automatically initializes tracks. The main novelty is the inclusion of the target ID in the particle state, enabling the algorithm to deal with unknown and large number
Fabio Poiesi +2 more
openaire +2 more sources
A hierarchical feature model for multi-target tracking
2017 IEEE International Conference on Image Processing (ICIP), 2017We propose a novel Hierarchical Feature Model (HFM) for multi-target tracking. The traditional tracking algorithms use handcrafted features that cannot track targets accurately when the target model changes due to articulation, illumination intensity variation or perspective distortions. Our HFM explore deep features to model the appearance of targets.
Mohib Ullah +3 more
openaire +1 more source