PATENT CLAIM ANALYSIS

Application Number: 16284452
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-08
Patent Classification: ["348", "143000"]

Abstract:
Techniques are disclosed for analyzing a scene depicted in an input stream of video frames captured by a video camera. The techniques include receiving data for an object within the scene and determining whether the object has remained substantially stationary within the scene for at least a threshold period. If the object is determined to have remained stationary for at least the threshold period, a rareness score is calculated for the object to indicate a likelihood of the object being stationary to an observed degree at an observed location. The rareness score may use a learning model to take into account previous stationary and/or non-stationary behavior of objects within the scene. In general, the learning model may be updated based on observed stationary and/or non-stationary behaviors of the objects. If the rareness score meets reporting conditions, the stationary object event may be reported.

Claim (Index 18):
The apparatus of  claim 12 , wherein the operations further comprise:\n storing a list of objects previously associated with rareness scores that exceed the threshold value; and if the object is determined to have remained stationary and remained within the scene for at least the threshold duration, comparing pixel locations of the object with pixel locations of objects in the list, wherein the alert is generated or the object is reported only if pixel locations of the object do not match the pixel locations of any of the objects in the list.

Metadata:
- Claim Count in Document: 34.0
- Percentile: 99.0
- Lexical Diversity: 1.97403
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13930190', '15636872', '13931058', '15874172', '13839587']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.682247805528226
- 35 USC 102 Novelty (BERT): 0.5338107101217949
- Combined Prediction Score: 0.6674040959875829
- Mean Citation Score: 301.933068
- Max Citation Score: 372.12274
- Similarity Product: 293.0549176727652

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test