Local features and object detection
Boosted Object Detection Based on Local Features
... candidate features are all evaluated for ...robust features in the beginning stages, and highly discriminative features in the following ...of local features. Each weak classifier ...
117
Modeling for part-based visual object detection based on local features
... our local image features that is used by a sliding window approach, a huge performance improvement results just because the number of classifications is reduced by a factor of more than 100 (for similar ...
109
CoupleNet: Coupling Global Structure with Local Parts for Object Detection
... variance features for each proposal, since in deep networks, higher-layers contain more semantic meaning and less location ...part-level features to learn the variations, where each one alone is not ...
9
Local features for visual object matching and video scene detection
... boundary detection is to detect visual discontinuities along the time ...the detection process, it is necessary to extract visual features that measure the degree of similarity between ...without ...
78
Accelerated Object Tracking with Local Binary Features
... the object for the first frames until the static dictionary is ...with object trackers: ground truth/initialization files, user selection, and object ...exact object that is to be tracked; ...
120
Deep Embedding Features for Salient Object Detection
... integrating local context ...high-level features into shallower layers, which locate salient regions and refine the sparse details ...and local details for salient object de- ...output ...
8
Local boosted features for pedestrian detection
... pedestrian detection in static images and in videos. They use an overlapping local contrast normalization in order to improve detection performance giving a certain invariance to illumination and ...
8
Application of Combined Local Object Based Features and Cluster Fusion for the Behaviors Recognition and Detection of Abnormal Behaviors
... In order to clarify the feasible advantage of the proposed method in this paper, it is worthwhile to compare our method with ones presented in [16,17]. To this end, we have prepared a dataset from an outdoor environment ...
8
Aggregating Local Features into Bundles for High-Precision Object Retrieval
... detection of small objects such as logos. We presented a logo detection system based on retrieval techniques. By choosing retrieval techniques over learning-based classifiers we are able to scale the ...
182
Efficient object detection via structured learning and local classifiers
... In [32], Dalal and Triggs proposed Histogram of Oriented Gradients (HOG) features with linear SVMs as classifiers for pedestrian detection, and achieved very good performan[r] ...
159
Boosted Vehicle Detection Using Local and Global Features
... For most of these application systems, foreground ob- ject extraction is a fundamental and crucial step that must occur before object tracking, classification, and recogni- tion. Foreground segmentation typically ...
10
Salient object detection employing robust sparse representation and local consistency
... the local regions in an image, ...similar features should have similar saliency ...salient object detection methods, this local consistency is often ignored, and the saliency of each ...
31
Multiclass Vehicle Detection and Tracking Using Local Visual Features
... Keywords-Vehicle detection, Tracking, SIFT (Scalable Invariant Features Transform) features ...moving object tracking in video pictures has attracted a great deal of interest in computer ...
5
FUSION OF SCALE INVARIANT FEATURES TRANSFORM AND WAVELET TRANSFORM TECHNIQUES FOR OBJECT DETECTION
... edges. A corner can also be defined as a point for which there is two dominant and different edges direction in local neighborhood of the point. Many applications require relating two or more images in order to ...
12
Object Tracking and Detection
... image features important for further ...a local neighborhood transformations, image restoration that requires knowledge of the processed pixel, and Other classifications of image pre-processingabout the ...
7
Visualizing object detection features
... visualize object detection ...state-of-the-art object detector, and our experiments show that while many false alarms are clearly wrong in image espace, they are still reasonable failures since their ...
61
Salient Object Detection via Combining Duplex Features
... 3.3 Fusion of Saliency Maps The result of SLIC super-pixel segmentation is a similarly uniform region, which ensures the spatial distribution of pixels within each region. The result of K-Means clustering only guarantees ...
8
Particle Filter with Integrated Multiple Features for Object Detection and Tracking
... 1. Object detection and tracking ...Multiple Features In this study, the features that are invariant to scale, rotation, and translation; are ...makes features rotation- and ...all ...
8
Rapid Object Detection using a Boosted Cascade of Simple Features
... the features used by our de- tector to be computed very ...visual features from a larger set and yields extremely efficient ...promising object-like regions. The cascade can be viewed as an ...
9
Building Detection Using Local Features and DSM Data
... 2 Yeditepe University, Turkey 3 DLR, Germany (e-mail: [email protected]) Abstract—Detecting and locating buildings in satellite images has various application areas. Unfortunately, manually detecting buildings is ...
5